CN111912349A - Detection method and system for display substrate - Google Patents
Detection method and system for display substrate Download PDFInfo
- Publication number
- CN111912349A CN111912349A CN201910375289.8A CN201910375289A CN111912349A CN 111912349 A CN111912349 A CN 111912349A CN 201910375289 A CN201910375289 A CN 201910375289A CN 111912349 A CN111912349 A CN 111912349A
- Authority
- CN
- China
- Prior art keywords
- image
- lamp bead
- display substrate
- normal
- abnormal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 239000000758 substrate Substances 0.000 title claims abstract description 250
- 238000001514 detection method Methods 0.000 title claims abstract description 153
- 239000011324 bead Substances 0.000 claims abstract description 459
- 230000002159 abnormal effect Effects 0.000 claims abstract description 131
- 238000000034 method Methods 0.000 claims abstract description 58
- 238000012545 processing Methods 0.000 claims description 44
- 238000000605 extraction Methods 0.000 claims description 25
- 230000008569 process Effects 0.000 claims description 23
- 238000007689 inspection Methods 0.000 claims description 12
- 238000012423 maintenance Methods 0.000 abstract description 7
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 19
- 239000011049 pearl Substances 0.000 description 11
- 230000004044 response Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 5
- 241001270131 Agaricus moelleri Species 0.000 description 4
- 238000012935 Averaging Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000009286 beneficial effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003550 marker Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/181—Segmentation; Edge detection involving edge growing; involving edge linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Theoretical Computer Science (AREA)
- Investigating Materials By The Use Of Optical Means Adapted For Particular Applications (AREA)
Abstract
The application discloses a detection method and system of a display substrate, and belongs to the technical field of display. The method comprises the following steps: acquiring an image which is shot by a camera and contains a picture displayed by a display substrate; determining abnormal lamp bead images based on the image information of the lamp bead images corresponding to each lamp bead in the images; and determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead images in the images. Need not to set up detecting element in display substrate, just can realize detecting the position of unusual lamp pearl, simplified display substrate's structure to this display substrate's manufacturing efficiency and maintenance efficiency have been improved.
Description
Technical Field
The present disclosure relates to display technologies, and in particular, to a method and a system for detecting a display substrate.
Background
With the development of Light Emitting Diode (LED) display technology, LED display substrates have been widely used in various fields due to their characteristics of low power consumption, strong color reproducibility, and long lifetime. The LED display substrate is provided with a plurality of lamp beads which are used for displaying the array arrangement of the picture, and the lamp beads are also commonly called as LED lamp beads.
At present, before an LED display substrate leaves a factory, the LED display substrate needs to be detected, and the position of a failed lamp bead in the LED display substrate is determined, so that the failed lamp bead can be maintained in the following process.
In order to realize the detection of the LED display substrate, a detection unit needs to be arranged in the LED display substrate, and the position of a bead with a fault in the LED display substrate is determined by the detection unit. Therefore, an additional detection unit needs to be arranged in the current LED display substrate, which results in a complicated structure of the LED display substrate.
Disclosure of Invention
The embodiment of the application provides a detection method and a detection system for a display substrate. The problem that the structure of the LED display substrate in the prior art is complex can be solved, the technical scheme is as follows:
in one aspect, a method for inspecting a display substrate is provided, the method including:
acquiring an image which is shot by a camera and contains a picture displayed by the display substrate, wherein the display substrate is provided with a plurality of lamp beads which are used for displaying the picture and are arranged in an array;
determining abnormal lamp bead images based on the image information of the lamp bead images corresponding to each lamp bead in the images;
and determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead image in the image.
Optionally, determining an abnormal lamp bead image based on image information of the lamp bead image corresponding to each lamp bead in the image, including:
determining a normal size range of the outline of a normal lamp bead image based on the image information of the lamp bead image in the image;
and determining the abnormal lamp bead image in the image based on the normal size range.
Optionally, determining the abnormal bead image in the image based on the normal size range includes:
determining a normal interval range based on the normal size range and the physical information of the display substrate, wherein the normal interval range is a minimum distance range between the center of one lamp bead image and the outline of the other lamp bead image in any two adjacent normal lamp bead images, and the physical information of the display substrate comprises: the real size information of the display substrate, the resolution of the display substrate and the distance between any two adjacent lamp beads in the display substrate;
and determining the abnormal lamp bead image in the image based on the normal distance range.
Optionally, the determining, in the normal interval range, the abnormal bead image in the image includes:
based on the normal space range, executing a detection process on each lamp bead image in the images according to a set sequence;
wherein, for each said lamp bead image, said detection process comprises:
detecting whether a reference lamp bead image which is adjacent to and normal to a current lamp bead image exists before the current lamp bead image;
if the reference lamp bead image exists before the current lamp bead image, when the minimum distance between the center of the reference lamp bead image and the outline of the current lamp bead image is out of the normal distance range, determining that the current lamp bead image is an abnormal lamp bead image.
Optionally, the detecting process further includes:
before whether a reference lamp bead image which is adjacent to and normal to the current lamp bead image exists before the current lamp bead image is detected, whether the current lamp bead image has a contour is detected based on image information of the lamp bead image in the image;
and if the current lamp bead image does not have the contour, determining that the current lamp bead image is an abnormal lamp bead image.
Optionally, determining the abnormal bead image in the image based on the normal size range includes:
sequentially detecting whether the outline size of each lamp bead image in the image is out of the normal size range;
and determining the lamp bead image with the outline size outside the normal size range in the image as an abnormal lamp bead image.
Optionally, the method further includes:
before determining the normal size range of the outline of a normal lamp bead image based on the image information of the lamp bead image in the image, carrying out outline extraction processing on the lamp bead image in the image to obtain an image after the outline extraction processing;
determining a normal size range of a contour of a normal lamp bead image based on image information of the lamp bead image in the image, including:
selecting a plurality of lamp bead images with contours from the images after contour extraction processing, and carrying out average processing on the contour sizes of the plurality of lamp bead images with contours to obtain the contour sizes after average processing;
and determining the normal size range based on the contour size after the average processing.
Optionally, determining an abnormal lamp bead image based on image information of the lamp bead image corresponding to each lamp bead in the image, including:
determining a normal gray scale range of a normal lamp bead image based on the image information of the lamp bead image in the image;
sequentially detecting whether the average gray scale of each lamp bead image in the image is outside the normal gray scale range;
and determining the lamp bead image with the average gray scale in the image outside the normal gray scale range as an abnormal lamp bead image.
Optionally, before the acquiring an image including a picture displayed on the display substrate and captured by the camera, the method further includes:
and sending a parameter initialization instruction to the display substrate, wherein the parameter initialization instruction is used for indicating the display substrate to restore the parameters to the initial parameters.
Optionally, before the acquiring an image including a picture displayed on the display substrate and captured by the camera, the method further includes:
and sending a picture display instruction to the display substrate, wherein the picture display instruction is used for indicating the display substrate to display a pure picture.
Optionally, after determining the position information of the abnormal lamp bead in the display substrate based on the position information of the abnormal lamp bead image in the image, the method further includes:
and sending a marking instruction to the display substrate based on the position information of the abnormal lamp beads in the display substrate, wherein the marking instruction is used for indicating the display substrate to display a marking icon, and the marking icon is used for marking the abnormal lamp beads.
In another aspect, there is provided an inspection system for a display substrate, the system including: a detection device and a camera;
the camera is used for shooting an image containing a picture displayed by the display substrate, and sending the image to the detection equipment, and the display substrate is provided with a plurality of lamp beads for displaying the picture in array arrangement;
the detection equipment is used for acquiring the image sent by the camera and determining an abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image;
the detection device is used for determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead image in the image.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
the method comprises the steps of determining an abnormal lamp bead image by detecting image information of the lamp bead image in an image of a picture displayed on a display substrate shot by a camera, and determining position information of the abnormal lamp bead in the display substrate based on the position of the abnormal lamp bead image. Need not to set up detecting element in display substrate, just can realize detecting the position of unusual lamp pearl, simplified display substrate's structure to this display substrate's manufacturing efficiency and maintenance efficiency have been improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a block diagram of a display substrate inspection system according to an embodiment of the present disclosure;
FIG. 2 is a flowchart illustrating a method for inspecting a display substrate according to an embodiment of the present disclosure;
FIG. 3 is a flow chart of another method for inspecting a display substrate according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of an image before contour extraction processing according to an embodiment of the present application;
FIG. 5 is a schematic diagram of an image after contour extraction processing according to an embodiment of the present application;
FIG. 6 is a flow chart of a detection process provided by an embodiment of the present application;
fig. 7 is a block diagram of an apparatus for inspecting a display substrate according to an embodiment of the present disclosure;
FIG. 8 is a block diagram of a first determination module provided by an embodiment of the present application;
fig. 9 is a block diagram of a second determining unit provided in an embodiment of the present application;
fig. 10 is a block diagram of another second determination unit provided in an embodiment of the present application;
fig. 11 is a block diagram of a first determining unit provided in an embodiment of the present application;
FIG. 12 is a block diagram of a first determining module provided by an embodiment of the present application;
fig. 13 is a block diagram of another detection apparatus for a display substrate according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a block diagram of a detection system of a display substrate according to an embodiment of the present disclosure. The inspection system 100 for a display substrate may include: a detection device 101 and a camera 102.
The camera 102 may be a device having an image capturing function, and may be an industrial camera, for example. The detection device 101 may be a computer device such as a computer or a mobile phone, or a server cluster composed of several servers, or a cloud computing service center. The detection device 101 may establish a communication connection with the camera 102.
The detection device 101 also needs to establish a communication connection with the display substrate 103 to be detected, so that the detection system 100 of the display substrate can detect the display substrate 103 to determine the position of the failed lamp bead in the display substrate 103. This display substrate 103 can be LED display substrate, and this display substrate 103 has a plurality of lamp pearls that are used for the array arrangement of display frame, and this lamp pearl can be LED lamp pearl.
It should be noted that the communication connection in the embodiment of the present application may be a communication connection established through a wired network or a wireless network.
Referring to fig. 2, fig. 2 is a flowchart illustrating a method for inspecting a display substrate according to an embodiment of the present disclosure. The inspection method of the display substrate is applied to the inspection apparatus 101 in the inspection system 100 of the display substrate shown in fig. 1. The detection method of the display substrate may include:
And step 203, determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead image in the image.
In summary, the detection method for the display substrate provided in the embodiment of the present application determines the abnormal bead image by detecting the image information of the bead image in the image of the picture displayed by the display substrate captured by the camera, and determines the position information of the abnormal bead in the display substrate based on the position of the abnormal bead image. Need not to set up detecting element in display substrate, just can realize detecting the position of unusual lamp pearl, simplified display substrate's structure to this display substrate's manufacturing efficiency and maintenance efficiency have been improved.
Referring to fig. 3, fig. 3 is a flowchart illustrating another method for inspecting a display substrate according to an embodiment of the present disclosure. The detection method of the display substrate is applied to the detection system 100 of the display substrate shown in fig. 1, and the detection system is used for detecting the display substrate 103. The detection method of the display substrate may include:
step 301, the detection device sends a parameter initialization instruction to the display substrate. The parameter initialization command is used for instructing the display substrate to restore the parameters to the initial parameters.
In the embodiment of the application, the abnormal parameters of the display substrate may also cause the abnormal lamp beads in the display substrate. Therefore, before the display substrate is detected, the detection device needs to send a parameter initialization instruction to the display substrate to control the display substrate to restore the parameters of the display substrate to the initial parameters.
By way of example, a display substrate generally includes: the parameters of the display substrate are generally the parameters configured in the receiving card, and the detection device can be connected with the display substrate through the sending card. The detection device can therefore send an initialization instruction to the transmitting card in the display base.
Step 302, the display substrate restores the parameters to the initial parameters based on the parameter initialization command.
In this embodiment of the application, after the display substrate receives the parameter initialization instruction sent by the detection device, the display substrate may restore the parameter to the initialization parameter according to the parameter initialization instruction. The phenomenon that normal lamp beads in the display substrate are abnormal due to the fact that parameters of the display substrate are abnormal in the follow-up detection process is avoided.
For example, the sending card in the display substrate may receive the initialization instruction, and restore the parameters configured in the receiving card to the initial parameters according to the parameter initialization instruction.
Step 303, the display substrate sends a parameter initialization response to the detection device.
In this embodiment of the application, after the parameter of the display substrate is restored to the initial parameter, a parameter initialization response may be sent to the detection device. The parameter initialization response is used to indicate to the inspection apparatus that the parameter of the display substrate has set an initial parameter.
Step 304, the detection device sends a screen display instruction to the display substrate.
In the embodiment of the present application, when the display substrate displays a non-pure color picture, it is not beneficial to detect the caterpillar phenomenon occurring in the display substrate (that is, there is a series of abnormal lamp beads in the display substrate). Therefore, in order to detect the information of the caterpillars appearing on the display substrate, after the detection equipment receives the parameter initialization response, a picture display instruction can be sent to the display substrate. The picture display instruction is used for instructing the display substrate to display a picture of a pure color. The frame display instruction further carries color information for indicating the display substrate to display the frame, for example, the frame display instruction further carries red information, green information or blue information.
For example, the detection device may transmit a screen display instruction to a transmission card of the display substrate.
Step 305, the display substrate displays a pure color screen based on the screen display command.
In the embodiment of the present application, after receiving the screen display instruction, the display substrate may display a pure color screen based on the screen display instruction. The detection method is more beneficial to detecting the caterpillar phenomenon of the display substrate in the subsequent detection process. For example, since the screen display command also carries red information, green information, or blue information, the display substrate displays a pure color screen of red, green, or yellow based on the color information carried by the screen display command.
For example, a sending card in the display substrate may receive a screen display instruction and control the display substrate to display a pure color screen such as red, green, or yellow by the receiving card according to the screen display instruction.
And step 306, the display substrate sends a picture display response to the detection device.
In the embodiment of the application, after the display substrate displays the picture of the pure color based on the picture display instruction, the picture response may be sent to the detection device. The screen display response is used to indicate to the detection device that the display substrate has displayed a screen of a solid color.
Step 307, the detection device sends an image acquisition instruction to the camera.
In the embodiment of the application, the detection device may send an image acquisition instruction to the camera after receiving the screen display response. The image acquisition instruction is used for instructing the camera to shoot a picture displayed by the display substrate.
Step 308, the camera captures an image including a screen displayed on the display substrate.
In the embodiment of the application, after receiving an image acquisition instruction sent by the detection device, the camera may capture an image of the display substrate, so as to obtain an image including a picture displayed by the display substrate.
In general, in order to capture an image including a picture displayed by the display substrate, a lens in the camera needs to be aligned with a front surface of the display substrate (i.e., a surface capable of displaying the picture), and since the display substrate has a plurality of beads arranged in an array for displaying the picture, the image captured by the camera has a bead image corresponding to each bead.
Step 309, the camera sends the captured image to the detection device.
In the embodiment of the present application, after the camera captures an image including a screen displayed on the display substrate, the captured image may be transmitted to the detection apparatus.
Step 310, the detection device determines an abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image.
In the embodiment of the application, after receiving the image sent by the camera, the detection device may determine the abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image. In the embodiment of the present application, the detection device determines that there are multiple realizable manners for the abnormal lamp bead image based on the image information of the lamp bead image, and the embodiment of the present application schematically illustrates the following two realizable manners as an example:
in a first implementation, the image information of the lamp bead image includes: the detection device determines an abnormal lamp bead image based on image information of a lamp bead image corresponding to each lamp bead in the image, and may include the following steps:
and step A1, determining the normal size range of the outline of the normal lamp bead image based on the image information of the lamp bead image in the image.
In the embodiment of the application, the detection device can determine the normal size range of the outline of the normal lamp bead based on the image information of the lamp bead image in the image. The image information of the lamp bead image can include: and the outline of the lamp bead image can be removed and only the outline calculation of the lamp bead image is reserved in order to avoid the influence of the data in the lamp bead image on the calculation result when the size calculation is carried out on the basis of the outline subsequently. Therefore, the detection device needs to acquire the outline of the normal bead image before determining the normal size range of the outline of the normal bead image.
For example, before determining the normal size range of the outline of the normal lamp bead image based on the image information of the lamp bead image in the image, the method for detecting the display substrate may further include: and carrying out contour extraction processing on the lamp bead image in the image to obtain the lamp bead image after contour extraction processing. For example, the detection device may perform contour extraction processing on the lamp bead image by using an Open CV function library. Referring to fig. 4 and 5, fig. 4 and 5 are an image before contour extraction processing and an image after contour feature processing, respectively, and after the detection device performs contour extraction on the lamp bead image a in fig. 4, the contour b in fig. 5 can be obtained.
It should be noted that, in order to enable the detection device to perform the contour extraction processing on the lamp bead image by using the Open CV function library, the detection device needs to perform binarization processing on the image in advance, and the detection device can perform further contour feature extraction processing on the image after the binarization processing, so that the detection device can obtain the image after the contour extraction processing is performed on the lamp bead image by using the Open CV function library on the image after the binarization processing.
In this embodiment of the application, after the detection device obtains the image after the contour extraction processing, the detection device may determine the normal size range of the contour of the normal bead image based on the contour of the bead image in the image. As an example, the step a1 may include several steps:
step a11, selecting a plurality of bead images with contours from the images after contour extraction processing, and averaging the contour sizes of the bead images with contours to obtain the contour size after average processing.
For example, the detection device may select a plurality of bead images with contours from the image after the contour extraction process, for example, the detection device may select 100 bead images with contours. In addition, the detection device can also calculate the contour size of each bead image with the contour, so that the detection device can perform average processing on the contour sizes of the bead images with the contours to obtain the contour size after the average processing.
Step a12, determining the normal size range based on the contour size after the averaging process.
For example, the detection device may increase the fluctuation range of the acceptable contour size to the contour size after the average processing, and may obtain the normal size range of the contour of the normal bead image.
And step B1, determining abnormal lamp bead images in the images based on the normal size range.
In the embodiment of the present application, the detection device determines, based on the normal size range, various implementations of the abnormal bead image in the image, and the following two exemplary implementations are taken as examples to schematically illustrate the embodiment of the present application:
in a first exemplary implementation, the determining, by the detecting device, an abnormal bead image in the image based on the normal size range may include:
and step B1a1, determining a normal spacing range based on the normal size range and the physical information of the display substrate.
The normal distance range is the minimum distance range between the center of one lamp bead image and the outline of the other lamp bead image in any two adjacent normal lamp bead images. The physical information of the display substrate includes: the real size information of the display substrate, the resolution ratio of the display substrate and the distance between any two adjacent lamp beads in the display substrate.
It should be noted that, in the memory of the display substrate where the physical information of the display substrate can be stored, before the detection device determines an abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image, the detection device needs to further acquire the physical information of the display substrate from the memory of the display substrate through a transmission protocol.
As an example, the step B1a1 may include several steps:
and step B1a11, determining the actual size of the lamp bead in the display substrate based on the physical information of the display substrate.
For example, the actual size information of the physical information of the display substrate includes: the actual length and the actual width of display substrate, check out test set can calculate the actual size of the lamp pearl in the display substrate based on display substrate's actual length and actual width, display substrate's resolution ratio to and two arbitrary adjacent lamp pearl intervals in the display substrate.
And step B1a12, determining a normal space range based on the normal size range and the actual size of the lamp beads and the space between any two adjacent lamp beads in the display substrate.
For example, the detection device may calculate the normal interval range based on the normal size range and the actual size of the lamp bead, and the distance between any two adjacent lamp beads in the display substrate.
And step B1a2, determining abnormal lamp bead images in the images based on the normal distance range.
In this embodiment of the application, the detection device may determine an abnormal bead image in the image based on the normal distance range. As an example, the step B1a2 may include the following steps: and based on the normal distance range, executing a detection process on each lamp bead image in the image according to a set sequence. In a first optional implementation manner, the image information of the lamp bead image includes: the outline of the lamp bead image can be extracted and processed based on the outline, and the detection process can be executed on each lamp bead image.
It should be noted that, because the lamp beads in the display substrate are arranged in an array, the setting sequence may be the sequence in the following two optional implementation manners. In a first optional implementation manner, the lamp bead images may be detected line by line in an order from top to bottom, and in the detection process of each line, each lamp bead image may be detected in an order from left to right, for example, as shown in fig. 5, after the last lamp bead image b1 in the first line in the image is detected, the next lamp bead image to be detected is the first lamp bead image b2 in the second line. In a second alternative implementation manner, each lamp bead image may be sequentially detected according to an S-shaped order, for example, as shown in fig. 5, after the last lamp bead image b1 in the first row in the image is detected, the next lamp bead image to be detected is the last lamp bead image b3 in the second row.
Referring to fig. 6, fig. 6 is a flowchart of a detection process according to an embodiment of the present disclosure. The detection process performed on each lamp bead image includes:
In the embodiment of the present application, the image information of the lamp bead image includes: the contour of the lamp bead image, therefore, whether the current lamp bead image has the contour or not can be detected based on the image after contour extraction processing.
For example, if the detection device detects that the current bead image does not have a contour, the step 310b is executed; if the detection device detects that the contour of the current lamp bead image exists, step 310c is executed.
And 310b, determining the current lamp bead image as an abnormal lamp bead image.
In the embodiment of the application, when the lamp bead is abnormal, the outline of the lamp bead image cannot be obtained after the outline of the lamp bead image corresponding to the lamp bead is extracted. Therefore, after detecting that the current lamp bead image has no contour, the detection device can determine that the lamp bead corresponding to the lamp bead image is an abnormal lamp bead, and can determine the lamp bead image as the abnormal lamp bead image.
And 310c, detecting whether a reference lamp bead image which is adjacent to and normal to the current lamp bead image exists before the current lamp bead image.
In the embodiment of the application, after the contour extraction is performed on the lamp bead image, when the contour of the lamp bead image is obtained, the lamp bead corresponding to the lamp bead image may be a normal lamp bead or a lamp bead with abnormal brightness. For example, when the brightness of a lamp bead is too bright, the size of the outline of the lamp bead image corresponding to the lamp bead is larger; when the brightness of the lamp bead is too dark, the outline of the lamp bead image corresponding to the lamp bead is small in size.
Therefore, after detecting that the current lamp bead image has the contour, the detection device needs to further detect the lamp bead image. For example, the detection device may detect whether a reference bead image adjacent to and normal to the current bead image exists before the current bead image. If the detection device detects that a reference bead image exists before the current bead image, executing step 310 d; if the detection device detects that no reference lamp bead image exists before the current lamp bead image, step 310e is executed.
And 310d, when the minimum distance between the center of the reference lamp bead image and the outline of the current lamp bead image is out of the normal distance range, determining that the current lamp bead image is an abnormal lamp bead image.
In this embodiment of the application, if the detection device detects that a reference bead image exists before the current bead image, the detection device may calculate a minimum distance between a center of the reference bead image and a contour of the current bead image, and detect whether the minimum distance is outside a normal distance range.
When the detection device detects that the minimum distance between the center of the reference lamp bead image and the outline of the current lamp bead image is out of the normal distance range, the current lamp bead image can be determined as an abnormal lamp bead image; when the detection device detects that the minimum distance between the center of the reference lamp bead image and the outline of the current lamp bead image is within the normal distance range, the current lamp bead image can be determined as a normal lamp bead image.
And 310e, when the contour size of the current lamp bead image is out of the normal size range, determining that the current lamp bead image is an abnormal lamp bead image.
In this embodiment of the application, if the detection device detects that there is no reference lamp bead image before the current lamp bead image, that is, the current lamp bead image may be the first lamp bead image in the image sorted according to the set order, or the lamp bead image before the current lamp bead image may also be an abnormal lamp bead image. The detection device can calculate the contour dimension of the current lamp bead and detect whether the contour dimension is out of the normal dimension range.
When the detection equipment detects that the outline size of the current lamp bead image is out of the normal size range, the current lamp bead image can be determined as an abnormal lamp bead image; when the detection equipment detects that the outline size of the current lamp bead image is within the normal size range, the current lamp bead image can be determined as a normal lamp bead image.
It should be noted that after each of the lamp bead images in the images is detected through the steps 310a to 310e, the lamp bead image with the abnormality in the display substrate can be determined.
It should be further noted that, because the probability of the abnormal lamp bead in the display substrate is low, and the detection device calculates the outline size of the lamp bead image more complicatedly, in the first exemplary implementation manner, the detection device refers to the normal size range and the normal interval range at the same time, and does not need to calculate the outline size of each lamp bead image, so that the process of determining the abnormal lamp bead image can be realized, and the computation amount of the detection device is effectively reduced.
In a second exemplary implementation, the determining, by the detecting device, an abnormal bead image in the image based on the normal size range may include:
and step B1B1, sequentially detecting whether the outline size of each lamp bead image in the image is out of the normal size range.
In the embodiment of the application, after the detection device determines the normal size range of the outline of the normal lamp bead image, whether the outline size of each lamp bead image is out of the normal size range or not can be detected in sequence. When the outline size of the lamp bead image is out of the normal size range, executing the step B1B 2; and when the outline size of the lamp bead image is in the normal size range, executing the step B1B 3.
And step B1B2, determining the lamp bead image with the outline size outside the normal size range in the image as an abnormal lamp bead image.
In the embodiment of the application, the detection device can determine the lamp bead image with the outline size outside the normal size range in the image as the abnormal lamp bead image.
And step B1B3, determining the lamp bead image with the outline size in the normal size range in the image as a normal lamp bead image.
In the embodiment of the application, the detection device can determine the lamp bead image with the contour size in the image within the normal size range as the normal lamp bead image.
It should be noted that, when the image information of the lamp bead image includes: and when the average gray scale of the lamp bead image is achieved, the detection equipment can determine the abnormal lamp bead image in the image through the two schematic implementation modes.
In a second implementation, the image information of the lamp bead image includes: the average gray scale of the lamp bead image, and the detection device determining the abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image, may include the following steps:
and step A2, determining the normal gray scale range of the normal lamp bead image based on the image information of the lamp bead image in the image.
In this embodiment of the application, the detection device may determine the normal grayscale range of the normal lamp bead image based on the image information of the lamp bead image in the image, and may include the following steps:
and A21, performing binarization processing on the image to obtain a binarized image.
In the embodiment of the application, each pixel point corresponds to one gray scale in the binarized image obtained by binarizing the image by the detection device.
And A22, determining the average gray scale of each lamp bead image based on the image after binarization processing.
For example, the detection device may obtain gray scales of each pixel point in each lamp bead image in the image after binarization processing, and may obtain an average gray scale of each lamp bead image after calculating the gray scales of each pixel point.
And A23, selecting a plurality of lamp bead images, and carrying out average processing on the average gray scales of the lamp bead images to obtain the gray scales after the average processing.
In this embodiment of the application, after the detection device may determine the average gray scale of each lamp bead image through step a22, the detection device may select a plurality of lamp bead images, for example, select 100 lamp bead images, and average-process the average gray scale of the plurality of lamp bead images, so as to obtain the gray scale after average processing.
And A24, determining the normal gray scale range of the normal lamp bead image based on the gray scale after the average processing.
In the embodiment of the application, after the detection device can increase the fluctuation range of the acceptable gray scale to the average processed gray scale, the normal gray scale range of the normal lamp bead image can be obtained.
And step B2, sequentially detecting whether the average gray scale of each lamp bead image in the image is outside the normal gray scale range.
In the embodiment of the application, after the detection device determines the normal gray scale range of the normal lamp bead image, whether the average gray scale of each lamp bead image is outside the normal gray scale range can be detected in sequence. When the average gray scale of the lamp bead image is out of the normal gray scale range, executing the step C2; and D2, executing the step when the average gray scale of the lamp bead image is within the normal gray scale range.
And step C2, determining the lamp bead image with the average gray scale outside the normal gray scale range in the image as the abnormal lamp bead image.
In the embodiment of the application, the detection device can determine the lamp bead image with the average gray scale in the image out of the normal gray scale range as the abnormal lamp bead image.
And D2, determining the lamp bead image with the average gray scale in the image within the normal gray scale range as a normal lamp bead image.
In the embodiment of the application, the detection device can determine the lamp bead image with the average gray scale in the image in the normal gray scale range as the normal lamp bead image.
It should be noted that, the detection device can determine the abnormal bead image in the image through the two implementation manners.
Step 311, the detection device determines the position information of the abnormal lamp bead in the display substrate based on the position information of the abnormal lamp bead image in the image.
In the embodiment of the application, after the detection device determines the abnormal lamp bead image in the image, the detection device determines the position information of the abnormal lamp bead in the display substrate based on the position information of the abnormal lamp bead image in the image.
For example, the location information may include: the number of rows and columns of information, for example, the position information of the image of the lamp bead positioned in the first row and the first column in the image is (1, 1), and the position information of the lamp bead positioned in the first row and the first column in the display substrate is also (1, 1). The detection device can determine the position information of all the abnormal lamp bead images in the image, and can determine the position information of all the abnormal lamp bead images in the image as the position information of the abnormal lamp beads in the display substrate.
It should be noted that, the abnormal phenomenon may not occur when the lamp bead in the display substrate may display a certain color, and the abnormal phenomenon may occur when other colors are displayed. Therefore, the detection device needs to sequentially control the display substrate to display red, green, and blue pictures, and each time after the display substrate displays a picture of one color, the detection system of the display substrate needs to perform a process of determining the position information of the abnormal lamp beads on the display substrate once, that is, the detection device needs to repeat the above steps 304 to 311 three times, so that the detection device can determine the position information of all the abnormal lamp beads in the display substrate.
Step 312, the detection device sends a marking instruction to the display substrate based on the position information of the abnormal lamp bead in the display substrate.
In the embodiment of the application, after the detection device determines the position information of all abnormal lamp beads in the display substrate, the detection device can send a marking instruction to the display substrate. The marking instruction is used for indicating the display substrate to display a marking icon, and the marking icon is used for marking abnormal lamp beads.
For example, the detection device may send a marking instruction to a sending card of the display substrate.
Step 313, the display substrate displays the mark icon according to the mark command.
In this embodiment, after the display substrate receives the marking instruction, the display substrate may display a marking icon according to the marking instruction. For example, the marker icon may be a cross, an arrow, or the like. The mark icon can mark abnormal lamp beads in the display substrate, so that maintenance personnel can quickly find out the lamp beads with faults according to the position of the mark icon, and maintain the lamp beads with the faults.
For example, a sending card in the display substrate may receive a marking instruction and control the display substrate to display a marking icon through the receiving card according to the marking instruction.
It should be noted that, the sequence of the steps of the detection method for a display substrate provided in the embodiments of the present application may be appropriately adjusted, and the steps may also be increased or decreased according to the circumstances, and any method that can be easily conceived by a person skilled in the art within the technical scope of the present application shall be included in the protection scope of the present application, and therefore, the details are not repeated.
In summary, the detection method for the display substrate provided in the embodiment of the present application determines the abnormal bead image by detecting the image information of the bead image in the image of the picture displayed by the display substrate captured by the camera, and determines the position information of the abnormal bead in the display substrate based on the position of the abnormal bead image. Need not to set up detecting element in display substrate, just can realize detecting the position of unusual lamp pearl, simplified display substrate's structure to this display substrate's manufacturing efficiency and maintenance efficiency have been improved.
Referring to fig. 7, fig. 7 is a block diagram of an apparatus for inspecting a display substrate according to an embodiment of the present disclosure. The inspection block diagram 400 of the display substrate may include:
the acquiring module 401 is configured to acquire an image captured by the camera and including a screen displayed on the display substrate. The display substrate is provided with a plurality of lamp beads for displaying the array arrangement of the picture.
The first determining module 402 is configured to determine an abnormal lamp bead image based on image information of a lamp bead image corresponding to each lamp bead in the image.
A second determining module 403, configured to determine, based on the location information of the abnormal bead image in the image, the location information of the abnormal bead in the display substrate.
To sum up, the detection device for a display substrate provided in the embodiment of the present application determines an abnormal lamp bead image by detecting image information of the lamp bead image in an image of a picture displayed by the display substrate captured by the camera, and determines position information of the abnormal lamp bead in the display substrate based on a position of the abnormal lamp bead image. Need not to set up detecting element in display substrate, just can realize detecting the position of unusual lamp pearl, simplified display substrate's structure to this display substrate's manufacturing efficiency and maintenance efficiency have been improved.
Optionally, please refer to fig. 8, where fig. 8 is a block diagram of a first determining module provided in an embodiment of the present application, where the first determining module 402 may include:
the first determining unit 4021 is configured to determine a normal size range of an outline of a normal lamp bead image based on image information of the lamp bead image in the image.
The second determining unit 4022 is configured to determine an abnormal bead image in the image based on the normal size range.
Optionally, please refer to fig. 9, where fig. 9 is a block diagram of a second determining unit provided in the embodiment of the present application, where the second determining unit 4022 may include:
the first determining subunit 4022a is configured to determine a normal distance range based on a normal size range and physical information of the display substrate, where the normal distance range is a minimum distance range between a center of one of any two adjacent normal lamp bead images and an outline of the other lamp bead image, and the physical information of the display substrate includes: the real size information of the display substrate, the resolution ratio of the display substrate and the distance between any two adjacent lamp beads in the display substrate.
The second determining subunit 4022b is configured to determine an abnormal bead image in the image based on the normal distance range.
Optionally, the second determining subunit 4022b is configured to perform a detection process on each of the lamp bead images in the image according to a set sequence based on the normal distance range. Wherein, to every lamp pearl image, the testing process includes:
detecting whether a reference lamp bead image which is adjacent to and normal with the current lamp bead image exists before the current lamp bead image; if a reference lamp bead image exists before the current lamp bead image, when the minimum distance between the center of the reference lamp bead image and the outline of the current lamp bead image is out of the normal distance range, the current lamp bead image is determined to be an abnormal lamp bead image.
Optionally, the detecting process further includes:
before detecting whether a reference lamp bead image which is adjacent to and normal to the current lamp bead image exists before the current lamp bead image, detecting whether the current lamp bead image has a contour or not based on image information of the lamp bead image in the image; and if the current lamp bead image does not have the contour, determining that the current lamp bead image is an abnormal lamp bead image.
Optionally, referring to fig. 10, fig. 10 is a block diagram of another second determining unit provided in the embodiment of the present application, where the second determining unit 4022 may include:
the detecting subunit 4022c is configured to sequentially detect whether the contour size of each bead image in the image is outside the normal size range.
A third determining subunit 4022d, configured to determine a lamp bead image with an outline size outside the normal size range in the image as an abnormal lamp bead image.
Optionally, the detection apparatus for a display substrate may further include: and the contour extraction module is used for performing contour extraction processing on the lamp bead image in the image before determining the normal size range of the contour of the normal lamp bead image based on the image information of the lamp bead image in the image to obtain the image after the contour extraction processing.
Referring to fig. 11, fig. 11 is a block diagram of a first determining unit provided in an embodiment of the present application, where the first determining unit 4021 may include:
the averaging processing subunit 4021a is configured to select a plurality of bead images having contours from the image after the contour extraction processing, and average the contour sizes of the bead images having contours to obtain an average contour size.
A fourth determination subunit 4021b configured to determine a normal size range based on the contour size after the averaging processing.
Optionally, referring to fig. 12, fig. 12 is a block diagram of a first determining module provided in an embodiment of the present application, where the first determining module 402 may include:
the third determining unit 4023 is configured to determine a normal grayscale range of a normal lamp bead image based on image information of the lamp bead image in the image.
And the gray scale detection unit 4024 is used for sequentially detecting whether the average gray scale of each lamp bead image in the image is outside the normal gray scale range.
A fourth determining unit 4025, configured to determine a lamp bead image with an average gray scale outside the normal gray scale range in the image as an abnormal lamp bead image.
Optionally, referring to fig. 13, fig. 13 is a block diagram of another detection apparatus for a display substrate according to an embodiment of the present application, where the detection apparatus 400 for a display substrate may further include: the first sending module 404 is configured to send a parameter initialization instruction to the display substrate, where the parameter initialization instruction is used to instruct the display substrate to restore the parameter to the initial parameter.
Optionally, the detection apparatus 400 for a display substrate may further include: the second sending module 405 is configured to send a picture display instruction to the display substrate, where the picture display instruction is used to instruct the display substrate to display a pure-color picture.
Optionally, the detection apparatus 400 for a display substrate may further include: and a third sending module 406, configured to send a mark instruction to the display substrate based on the position information of the abnormal lamp bead in the display substrate, where the mark instruction is used to instruct the display substrate to display a mark icon, and the mark icon is used to mark the abnormal lamp bead.
To sum up, the detection device for a display substrate provided in the embodiment of the present application determines an abnormal lamp bead image by detecting image information of the lamp bead image in an image of a picture displayed by the display substrate captured by the camera, and determines position information of the abnormal lamp bead in the display substrate based on a position of the abnormal lamp bead image. Need not to set up detecting element in display substrate, just can realize detecting the position of unusual lamp pearl, simplified display substrate's structure to this display substrate's manufacturing efficiency and maintenance efficiency have been improved.
The embodiment of the application also provides a detection system of a display substrate, and the structure of the detection system of the display substrate can refer to fig. 1. The inspection system 100 for a display substrate includes: a detection device 101 and a camera 102. The inspection apparatus 400 of the display substrate shown in fig. 7 or 13 may be integrated on the inspection device 101.
By way of example, the detection device and the camera in the detection system of the display substrate function as follows:
the camera is used for shooting an image containing a picture displayed by the display substrate and sending the image to the detection equipment. The display substrate is provided with a plurality of lamp beads for displaying the array arrangement of the picture.
The detection device is used for acquiring the image sent by the camera and determining the abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image.
The detection device is used for determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead images in the images.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses, modules, units and sub-units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The embodiment of the present application also provides a computer device, which may be the detection device 101 in the detection system 100 of the display substrate shown in fig. 1. The computer device includes: at least one processor; and at least one memory;
wherein the at least one memory stores one or more programs;
at least one processor configured to execute a program stored on the at least one memory to implement the method of the display substrate shown in fig. 2 or 3. By way of example, the method may comprise:
acquiring an image which is shot by a camera and contains a picture displayed by a display substrate, wherein the display substrate is provided with a plurality of lamp beads which are used for displaying the picture and are arranged in an array; determining abnormal lamp bead images based on the image information of the lamp bead images corresponding to each lamp bead in the images; and determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead images in the images.
The embodiment of the application also provides a computer-readable storage medium, which is a non-volatile storage medium, and code instructions are stored in the storage medium and executed by a processor to execute the detection method of the display substrate shown in fig. 2 or fig. 3.
It will be understood by those skilled in the art that all or part of the steps of implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The present application is intended to cover various modifications, alternatives, and equivalents, which may be included within the spirit and scope of the present application.
Claims (12)
1. A method for inspecting a display substrate, the method comprising:
acquiring an image which is shot by a camera and contains a picture displayed by the display substrate, wherein the display substrate is provided with a plurality of lamp beads which are used for displaying the picture and are arranged in an array;
determining abnormal lamp bead images based on the image information of the lamp bead images corresponding to each lamp bead in the images;
and determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead image in the image.
2. The method of claim 1, wherein determining an abnormal bead image based on image information of a bead image corresponding to each bead in the image comprises:
determining a normal size range of the outline of a normal lamp bead image based on the image information of the lamp bead image in the image;
and determining the abnormal lamp bead image in the image based on the normal size range.
3. The method of claim 2, wherein determining the abnormal bead image in the image based on the normal size range comprises:
determining a normal interval range based on the normal size range and the physical information of the display substrate, wherein the normal interval range is a minimum distance range between the center of one lamp bead image and the outline of the other lamp bead image in any two adjacent normal lamp bead images, and the physical information of the display substrate comprises: the real size information of the display substrate, the resolution of the display substrate and the distance between any two adjacent lamp beads in the display substrate;
and determining the abnormal lamp bead image in the image based on the normal distance range.
4. The method of claim 3, wherein the normal pitch range, determining the abnormal bead image in the image, comprises:
based on the normal space range, executing a detection process on each lamp bead image in the images according to a set sequence;
wherein, for each said lamp bead image, said detection process comprises:
detecting whether a reference lamp bead image which is adjacent to and normal to a current lamp bead image exists before the current lamp bead image;
if the reference lamp bead image exists before the current lamp bead image, when the minimum distance between the center of the reference lamp bead image and the outline of the current lamp bead image is out of the normal distance range, determining that the current lamp bead image is an abnormal lamp bead image.
5. The method of claim 4, wherein the detection process further comprises:
before whether a reference lamp bead image which is adjacent to and normal to the current lamp bead image exists before the current lamp bead image is detected, whether the current lamp bead image has a contour is detected based on image information of the lamp bead image in the image;
and if the current lamp bead image does not have the contour, determining that the current lamp bead image is an abnormal lamp bead image.
6. The method of claim 2, wherein determining the abnormal bead image in the image based on the normal size range comprises:
sequentially detecting whether the outline size of each lamp bead image in the image is out of the normal size range;
and determining the lamp bead image with the outline size outside the normal size range in the image as an abnormal lamp bead image.
7. The method of any of claims 2 to 6, further comprising:
before determining the normal size range of the outline of a normal lamp bead image based on the image information of the lamp bead image in the image, carrying out outline extraction processing on the lamp bead image in the image to obtain an image after the outline extraction processing;
determining a normal size range of a contour of a normal lamp bead image based on image information of the lamp bead image in the image, including:
selecting a plurality of lamp bead images with contours from the images after contour extraction processing, and carrying out average processing on the contour sizes of the plurality of lamp bead images with contours to obtain the contour sizes after average processing;
and determining the normal size range based on the contour size after the average processing.
8. The method of claim 1, wherein determining an abnormal bead image based on image information of a bead image corresponding to each bead in the image comprises:
determining a normal gray scale range of a normal lamp bead image based on the image information of the lamp bead image in the image;
sequentially detecting whether the average gray scale of each lamp bead image in the image is outside the normal gray scale range;
and determining the lamp bead image with the average gray scale in the image outside the normal gray scale range as an abnormal lamp bead image.
9. The method according to any one of claims 1 to 6, wherein before the acquiring the image including the picture displayed on the display substrate captured by the camera, the method further comprises:
and sending a parameter initialization instruction to the display substrate, wherein the parameter initialization instruction is used for indicating the display substrate to restore the parameters to the initial parameters.
10. The method according to any one of claims 1 to 6, wherein before the acquiring the image including the picture displayed on the display substrate captured by the camera, the method further comprises:
and sending a picture display instruction to the display substrate, wherein the picture display instruction is used for indicating the display substrate to display a pure picture.
11. The method of any one of claims 1 to 6, wherein after determining the location information of the abnormal light bead in the display substrate based on the location information of the abnormal light bead image in the image, the method further comprises:
and sending a marking instruction to the display substrate based on the position information of the abnormal lamp beads in the display substrate, wherein the marking instruction is used for indicating the display substrate to display a marking icon, and the marking icon is used for marking the abnormal lamp beads.
12. An inspection system for a display substrate, the system comprising: a detection device and a camera;
the camera is used for shooting an image containing a picture displayed by the display substrate, and sending the image to the detection equipment, and the display substrate is provided with a plurality of lamp beads for displaying the picture in array arrangement;
the detection equipment is used for acquiring the image sent by the camera and determining an abnormal lamp bead image based on the image information of the lamp bead image corresponding to each lamp bead in the image;
the detection device is used for determining the position information of the abnormal lamp beads in the display substrate based on the position information of the abnormal lamp bead image in the image.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910375289.8A CN111912349B (en) | 2019-05-07 | 2019-05-07 | Detection method and system for display substrate |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910375289.8A CN111912349B (en) | 2019-05-07 | 2019-05-07 | Detection method and system for display substrate |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111912349A true CN111912349A (en) | 2020-11-10 |
| CN111912349B CN111912349B (en) | 2022-08-05 |
Family
ID=73242133
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910375289.8A Active CN111912349B (en) | 2019-05-07 | 2019-05-07 | Detection method and system for display substrate |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111912349B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112464936A (en) * | 2020-12-11 | 2021-03-09 | 合肥维信诺科技有限公司 | Positioning method and positioning device for abnormal display area of display module |
| CN114897846A (en) * | 2022-05-20 | 2022-08-12 | 三固（厦门）科技有限公司 | A method for regularity detection of lattice targets based on machine vision |
Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH056928A (en) * | 1991-06-27 | 1993-01-14 | Hitachi Ltd | Pattern inspection method and apparatus |
| JP2004301705A (en) * | 2003-03-31 | 2004-10-28 | Toshiba Corp | Pattern defect inspection method and pattern defect inspection device |
| CN101937633A (en) * | 2010-08-19 | 2011-01-05 | 深圳市中庆微科技开发有限公司 | Method and system for positioning dead pixel positions of LED display screen |
| CN103997631A (en) * | 2014-06-09 | 2014-08-20 | 广东威创视讯科技股份有限公司 | Method and system for extracting position contour of LEDs dot by dot based on camera shooting |
| CN104217684A (en) * | 2014-09-11 | 2014-12-17 | 西安诺瓦电子科技有限公司 | LED (light emitting diode) defective point processing method and detection method and LED display control method |
| CN105241638A (en) * | 2015-09-09 | 2016-01-13 | 重庆平伟光电科技有限公司 | Vision-based quick LED module brightness uniformity detection method |
| CN105301810A (en) * | 2015-11-24 | 2016-02-03 | 上海斐讯数据通信技术有限公司 | Screen defect detecting method and screen defect detecting device |
| CN105627920A (en) * | 2015-12-18 | 2016-06-01 | 小米科技有限责任公司 | Method and device for displaying size |
| CN106409196A (en) * | 2016-11-21 | 2017-02-15 | 西安诺瓦电子科技有限公司 | LED display control card fault detection method |
| CN107065247A (en) * | 2017-06-07 | 2017-08-18 | 惠科股份有限公司 | Display panel detection method, device and system |
| CN107103867A (en) * | 2017-04-19 | 2017-08-29 | 西安诺瓦电子科技有限公司 | Display control card detection method and device, detecting system and production line |
| CN107483917A (en) * | 2017-07-17 | 2017-12-15 | 深圳威特姆光电科技有限公司 | The method of display screen bad point on-line measuring device and display screen bad point on-line checking |
| CN107515481A (en) * | 2017-08-29 | 2017-12-26 | 惠科股份有限公司 | Display panel detection method and device |
| CN108489404A (en) * | 2017-12-29 | 2018-09-04 | 三英精控（天津）仪器设备有限公司 | A method of measuring LED display appearance and size |
| CN108596908A (en) * | 2018-05-10 | 2018-09-28 | 深圳清华大学研究院 | LED display detection method, device and terminal |
| CN108986069A (en) * | 2018-05-30 | 2018-12-11 | 哈尔滨工业大学深圳研究生院 | A kind of AMOLED display screen defect inspection method, system and storage medium |
| CN109119009A (en) * | 2017-06-26 | 2019-01-01 | 深圳回收宝科技有限公司 | Screen defect inspection method, detection device, system and storage medium |
-
2019
- 2019-05-07 CN CN201910375289.8A patent/CN111912349B/en active Active
Patent Citations (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH056928A (en) * | 1991-06-27 | 1993-01-14 | Hitachi Ltd | Pattern inspection method and apparatus |
| JP2004301705A (en) * | 2003-03-31 | 2004-10-28 | Toshiba Corp | Pattern defect inspection method and pattern defect inspection device |
| CN101937633A (en) * | 2010-08-19 | 2011-01-05 | 深圳市中庆微科技开发有限公司 | Method and system for positioning dead pixel positions of LED display screen |
| CN103997631A (en) * | 2014-06-09 | 2014-08-20 | 广东威创视讯科技股份有限公司 | Method and system for extracting position contour of LEDs dot by dot based on camera shooting |
| CN104217684A (en) * | 2014-09-11 | 2014-12-17 | 西安诺瓦电子科技有限公司 | LED (light emitting diode) defective point processing method and detection method and LED display control method |
| CN105241638A (en) * | 2015-09-09 | 2016-01-13 | 重庆平伟光电科技有限公司 | Vision-based quick LED module brightness uniformity detection method |
| CN105301810A (en) * | 2015-11-24 | 2016-02-03 | 上海斐讯数据通信技术有限公司 | Screen defect detecting method and screen defect detecting device |
| CN105627920A (en) * | 2015-12-18 | 2016-06-01 | 小米科技有限责任公司 | Method and device for displaying size |
| CN106409196A (en) * | 2016-11-21 | 2017-02-15 | 西安诺瓦电子科技有限公司 | LED display control card fault detection method |
| CN107103867A (en) * | 2017-04-19 | 2017-08-29 | 西安诺瓦电子科技有限公司 | Display control card detection method and device, detecting system and production line |
| CN107065247A (en) * | 2017-06-07 | 2017-08-18 | 惠科股份有限公司 | Display panel detection method, device and system |
| CN109119009A (en) * | 2017-06-26 | 2019-01-01 | 深圳回收宝科技有限公司 | Screen defect inspection method, detection device, system and storage medium |
| CN107483917A (en) * | 2017-07-17 | 2017-12-15 | 深圳威特姆光电科技有限公司 | The method of display screen bad point on-line measuring device and display screen bad point on-line checking |
| CN107515481A (en) * | 2017-08-29 | 2017-12-26 | 惠科股份有限公司 | Display panel detection method and device |
| CN108489404A (en) * | 2017-12-29 | 2018-09-04 | 三英精控（天津）仪器设备有限公司 | A method of measuring LED display appearance and size |
| CN108596908A (en) * | 2018-05-10 | 2018-09-28 | 深圳清华大学研究院 | LED display detection method, device and terminal |
| CN108986069A (en) * | 2018-05-30 | 2018-12-11 | 哈尔滨工业大学深圳研究生院 | A kind of AMOLED display screen defect inspection method, system and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 郝仕嘉 等: "基于机器视觉的手机屏幕缺陷检测方法研究", 《信息与电脑》 * |
| 郝仕嘉 等: "基于机器视觉的手机屏幕缺陷检测方法研究", 《信息与电脑》, no. 9, 30 September 2018 (2018-09-30), pages 50 - 53 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112464936A (en) * | 2020-12-11 | 2021-03-09 | 合肥维信诺科技有限公司 | Positioning method and positioning device for abnormal display area of display module |
| CN112464936B (en) * | 2020-12-11 | 2022-12-20 | 合肥维信诺科技有限公司 | Positioning method and positioning device for abnormal display area of display module |
| CN114897846A (en) * | 2022-05-20 | 2022-08-12 | 三固（厦门）科技有限公司 | A method for regularity detection of lattice targets based on machine vision |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111912349B (en) | 2022-08-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10924729B2 (en) | Method and device for calibration | |
| KR102378186B1 (en) | Artificial intelligence vision inspection system for wiring harness | |
| CN104506857B (en) | A kind of camera position deviation detection method and apparatus | |
| CN112396999B (en) | Abnormal display block detection method, display screen fault detection method and equipment thereof | |
| CN108307021B (en) | Parallel following test equipment, cloud real machine and method for mobile terminal | |
| CN108337505B (en) | Information acquisition method and device | |
| CN117130186B (en) | LCD display screen flaw defect intelligent detection method | |
| CN109671388B (en) | Method and device for acquiring correction data | |
| CN104123519A (en) | System for automatically detecting electronic products through two-dimension codes and method thereof | |
| CN111912349B (en) | Detection method and system for display substrate | |
| CN108072664B (en) | Appearance detection system and method | |
| CN113938674B (en) | Video quality detection method, device, electronic equipment and readable storage medium | |
| CN105049701A (en) | Image processing method and image capturing apparatus | |
| KR20100120257A (en) | Led pixel diagnosis apparatus for led display board and method thereof | |
| CN111866501B (en) | Camera module detection method and device, electronic equipment and medium | |
| CN113012096B (en) | Display screen sub-pixel positioning and brightness extraction method, device and storage medium | |
| CN109819242B (en) | Flare testing method and system and readable storage medium | |
| WO2021233058A1 (en) | Method for monitoring articles on shop shelf, computer and system | |
| CN117197789A (en) | Curtain wall frame recognition method and system based on multi-scale boundary feature fusion | |
| CN116990993A (en) | LCD display panel quality detection method | |
| CN110896475B (en) | Display terminal channel switching detection method and device | |
| CN118631973B (en) | Monitoring picture real-time optimization method based on multi-target positioning analysis | |
| CN113012607A (en) | Display module detection method, device and system | |
| CN111854939A (en) | Online detection method for LED flexible light bar | |
| KR100860358B1 (en) | Apparatus and method for detecting pixel errors of variable information signs |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |