CN112683912B - Visual detection method and device for cloth cover defects - Google Patents
Visual detection method and device for cloth cover defects Download PDFInfo
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Abstract
The invention discloses a visual detection method and a visual detection device for cloth cover defects, wherein the visual detection method comprises the steps of adjusting a white light source to sequentially work at different brightness, and simultaneously capturing a picture under each brightness by using an area array camera; respectively calculating the mean value difference of pixels in each picture; judging the display color of the multicolor light source according to the pixel mean value difference of the picture; calculating according to the parameter values of the multicolor light source and the white light source, and obtaining the optimal brightness parameter value of the selected multicolor light source; obtaining the brightness control proportion value of the optimal light source according to the optimal brightness parameter value; adjusting the multicolor light source according to the display color and the optimal light source brightness control proportion value; and turning off the white light source; obtaining a picture under a set visual effect through a linear array camera; and carrying out cloth cover defect analysis on the obtained picture under the set visual effect. The invention improves the adaptability of the automatic detection system in practical application, and can effectively detect cloth cover defects of different fabrics.
Description
Technical Field
The invention belongs to the technical field of cloth cover detection, and particularly relates to a cloth cover defect visual detection method and a device thereof.
Background
The fabric feeding detection of textile production enterprises is an important link for ensuring the quality of products. With the rapid progress of technology, more and more enterprises adopt automatic detection systems to finish cloth defect detection, so that the detection efficiency is improved, misjudgment caused by eye fatigue is prevented, and the health and vision of detection personnel are prevented from being damaged.
Because the automatic detection equipment has higher technical requirements on operators, after debugging, fixed parameter configuration is adopted, and good effects can be achieved for partial fabrics and colors. However, in the actual production environment, the method is difficult to adapt to various fabrics and colors, so that a large number of enterprises still adopt a manual detection mode. Therefore, the existing cloth cover automatic detection equipment has poor adaptability in practical application, cannot detect different fabrics, and has low detection precision.
Disclosure of Invention
In order to solve the problems, the invention provides a cloth cover defect visual detection method and a device thereof, which improve the adaptability of an automatic detection system in practical application and can effectively detect cloth cover defects of different fabrics.
In order to achieve the above purpose, the invention adopts the following technical scheme: the cloth cover defect visual detection method comprises a detection component, wherein the cloth cover detection component is used for detecting the cloth cover, and comprises a white light source, a multicolor light source, an area array camera and a linear array camera, and the method comprises the following steps:
s10, adjusting the white light source to sequentially work at different brightness, and simultaneously capturing a picture under each brightness by using an area array camera;
s20, respectively calculating the mean value difference of pixels in each picture;
S30, judging the display color of the multicolor light source according to the pixel mean value difference of the picture;
S40, calculating according to the parameter values of the multicolor light source and the white light source, and obtaining the optimal brightness parameter value of the selected multicolor light source;
s50, obtaining a brightness control proportion value of the optimal light source according to the optimal brightness parameter value;
s60, regulating the multicolor light source according to the display color and the optimal light source brightness control proportion value; and turning off the white light source;
S70, obtaining a picture under a set visual effect through a linear array camera;
s80, performing cloth cover defect analysis by using the obtained picture under the set visual effect.
Further, the white annular light source is adjusted to work at 20%, 40%, 60%, 80% and 100% of brightness in sequence, and simultaneously, a picture is respectively captured at each brightness through the area array camera to obtain a picture group [ P1, P2, P3, P4 and P5].
Further, the R, G, B mean value of each pixel of each picture is calculated, and then the absolute value of the difference between the R, G, B mean values of each picture is calculated to obtain the mean value difference of the pixels in the pictures: pnRG, pnRB, pnGB;
wherein n is the number of pictures to be snap shot 1-5, RG represents the absolute value of the difference between R and G, RB represents the absolute value of the difference between R and B, and GB represents the absolute value of the difference between G and B.
Further, according to the pixel mean difference of the picture, the display color of the multicolor light source is determined, which comprises the following steps:
If the average value difference of at least 3 pictures is larger than a set threshold value and is the same average value difference, selecting the color with the maximum average value of R, G, B as the display color of the multicolor light source;
If the mean value difference of at least 3 pictures is larger than a set threshold value and is different, selecting the color with the largest mean value difference ratio as the display color of the multicolor light source;
if the mean value difference is not greater than the set threshold value, the display color of the multicolor light source is set to be red.
Further, according to the calculation of the multi-color light source and the white light source, the optimal brightness parameter value of the selected multi-color light source is obtained, and the method comprises the following steps:
according to the formula of the brightness change curve of the light source Calculating an optimal brightness parameter value of the selected polychromatic light source;
D is the comparison and debugging of each strip light source to the white light source, and corresponding fixed parameters are configured; y is the maximum value of the mean value of the snap-shot pictures, and x is the brightness control proportion value of the strip-shaped light source; a, b, c are coefficients of a light source brightness variation curve formula;
and calculating the values of b and c according to the selected 3 pictures with the largest mean value difference through the formula, and taking the calculated values as the optimal brightness parameter values of the selected multicolor light source.
Further, according to the calculation of the optimal brightness parameter value, the brightness control proportion value of the optimal light source is obtained, and the calculation formula is as follows:
Further, the cloth cover detection device also comprises a cloth carrying device, and the cloth carrying device drives the driving shaft to rotate through the motor, so that carrying of the detection cloth is completed, and the cloth cover of the detection cloth sequentially passes through the detection assembly; and adjusting the synchronizer according to the motor operation data, and performing image snapshot by the linear camera in the detection assembly according to the pulse interval output by the synchronizer. The synchronizer is used for triggering the snapshot, so that the frequency of the snapshot is related to the cloth movement speed, and the matching degree is improved.
On the other hand, the invention also provides a cloth cover defect visual detection device based on the cloth cover defect visual detection method, which comprises a frame, a cloth carrying device, a detection component, an industrial personal computer, a light source controller and an embedded controller, wherein the cloth carrying device is arranged on the frame, and the detection component is arranged above the cloth carrying device;
The detection assembly comprises a white light source, a multicolor light source, an area array camera and a linear array camera, wherein the white light source, the multicolor light source, the area array camera and the linear array camera are adjacently arranged on the support frame and face the cloth passing on the cloth carrying device; the white light source and the multicolor light source are connected to the light source controller, the area-array camera and the linear-array camera are connected to the industrial personal computer, the light source controller and the industrial personal computer are electrically connected with the embedded controller, and the embedded controller is connected to the cloth carrying device.
Further, the cloth carrying device comprises an unreeling roller, a reeling roller, a middle transmission roller set, a driving shaft, a motor and a driver, wherein the motor is connected with the driving shaft to drive the driving shaft to rotate; the driver is connected with the embedded controller and the motor, receives the instruction of the embedded controller and controls the motor to run; the driving shaft drives the wind-up roll, unreel roller and wind-up roll set up in the both ends of frame, and middle part conduction roller set sets up in the frame middle section, waits to detect the cloth and puts on unreeling roller to pass through middle part conduction roller set to wind-up roll in proper order, rotate through the wind-up roll and drive the cloth and remove, make the cloth cover pass through the detection component below in proper order.
Further, the white light source adopts a white annular light source, and the multicolor light source adopts a multicolor strip light source; the multicolor strip light source adopts a variable color light source, or comprises a plurality of light sources with different colors, and preferably adopts three strip light sources of red, green and blue; and selecting the number of the linear cameras according to the layout width by adopting at least one linear camera. The system further comprises a synchronizer connected to the embedded controller. The safety lamp, the switch box and the display are also included.
The beneficial effect of adopting this technical scheme is:
The invention can effectively improve the adaptability of the cloth cover detection equipment in practical application, can effectively detect the cloth cover defects aiming at different fabrics, and can effectively detect the cloth cover defects for the fabrics with surface glossiness, color and the like; the contrast ratio of the acquired image is improved by automatically selecting the light source and the brightness with proper colors, so that the defect characteristics are more obvious, and the purposes of improving the visual detection accuracy and reducing the omission ratio are achieved.
Drawings
FIG. 1 is a schematic flow chart of a visual detection method for cloth cover defects according to the present invention;
FIG. 2 is a schematic diagram of a visual inspection device for cloth cover defects according to the present invention;
FIG. 3 is a schematic structural diagram of a detecting component according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of control circuit connection in an embodiment of the present invention;
The device comprises a frame 1, a detection assembly 2, an industrial personal computer 3, a light source controller 4, an embedded controller 5, an unreeling roller 6, a reeling roller 7, a middle transmission roller group 8, a driving shaft 9, a motor 10, a driver 11, a switch box 12 and a display 13; 21 is a white light source, 22 is a multicolor light source, 23 is an area camera, 24 is a line camera, and 25 is a support frame.
Detailed Description
The present invention will be further described with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent.
In this embodiment, referring to fig. 1 and 2, the present invention provides a visual detection method for a cloth cover defect, where the cloth cover detection device includes a detection component 2, and the cloth cover is detected by the detection component 2, where the detection component 2 includes a white light source 21, a polychromatic light source 22, an area camera 23, and a line camera 24, and includes the steps of:
S10, adjusting the white light source 21 to sequentially work at different brightness, and simultaneously capturing a picture under each brightness by using the area array camera 23;
s20, respectively calculating the mean value difference of pixels in each picture;
S30, judging the display color of the multicolor light source 22 according to the pixel mean value difference of the picture;
s40, calculating according to parameter values of the multicolor light source 22 and the white light source 21, and obtaining an optimal brightness parameter value of the selected multicolor light source 22;
s50, obtaining a brightness control proportion value of the optimal light source according to the optimal brightness parameter value;
S60, adjusting the multicolor light source 22 according to the display color and the optimal light source brightness control proportion value; and turns off the white light source 21;
S70, obtaining a picture under a set visual effect through the linear camera 24;
s80, performing cloth cover defect analysis by using the obtained picture under the set visual effect.
As an optimization scheme of the above embodiment, in step S10, the white ring light source is adjusted to work at 20%, 40%, 60%, 80%, 100% of brightness in sequence, and simultaneously, a picture is captured by the area camera 23 at each brightness, so as to obtain a picture group [ P1, P2, P3, P4, P5].
In step S20, the R, G, B mean value of each pixel of each picture is calculated, and then the absolute value of the difference between the R, G, B mean values of each picture is calculated, so as to obtain the mean value difference of the pixels in the picture: pnRG, pnRB, pnGB;
wherein n is the number of pictures to be snap shot 1-5, RG represents the absolute value of the difference between R and G, RB represents the absolute value of the difference between R and B, and GB represents the absolute value of the difference between G and B.
In step S30, the display color of the multicolor-light source 22 is determined according to the pixel mean difference of the picture, and the steps include:
If the average difference of at least 3 pictures is larger than the set threshold value and is the same average difference, the color with the maximum average value of R, G, B is selected as the display color of the multicolor light source 22;
if the mean value difference of at least 3 pictures is larger than the set threshold value and is different, selecting the color with the largest mean value difference ratio as the display color of the multicolor light source 22;
If there is no mean value difference > the set threshold value, the display color of the multicolor-light source 22 is set to red.
In step S40, the optimum brightness parameter value of the selected multi-color light source 22 is obtained according to the calculation by the multi-color light source 22 and the white light source 21, comprising the steps of:
according to the formula of the brightness change curve of the light source Calculating an optimal luminance parameter value for the selected polychromatic light source 22;
D is the comparison debugging of each strip light source to the white light source 21, and corresponding fixed parameters are configured; y is the maximum value of the mean value of the snap-shot pictures, and x is the brightness control proportion value of the strip-shaped light source; a, b, c are coefficients of a light source brightness variation curve formula;
According to the selected 3 pictures with the largest mean differences, the values of b and c are calculated through the above formula and used as the optimal brightness parameter values of the selected multicolor light source 22.
In step S50, the brightness control ratio value of the optimal light source is obtained according to the calculation of the optimal brightness parameter value, and the calculation formula is:
The cloth cover detection device further comprises a cloth carrying device, wherein the cloth carrying device drives the driving shaft 9 to rotate through the motor 10, so that carrying of detection cloth is completed, and the cloth cover of the detection cloth sequentially passes through the detection assembly 2; the synchronizer is adjusted according to the operation data of the motor 10, and the linear camera 24 in the detection assembly 2 performs image capturing according to the pulse interval output by the synchronizer.
In order to cooperate with the implementation of the method of the invention, based on the same invention conception, as shown in fig. 2-4, the invention also provides a cloth cover defect visual detection device, which comprises a frame 1, a cloth carrying device, a detection assembly 2, an industrial personal computer 3, a light source controller 4 and an embedded controller 5, wherein the cloth carrying device is arranged on the frame 1, and the detection assembly 2 is arranged above the cloth carrying device;
The detection assembly 2 comprises a white light source 21, a multicolor light source 22, an area camera 23 and a linear array camera 24, wherein the white light source 21, the multicolor light source 22, the area camera 23 and the linear array camera 24 are adjacently arranged on a support frame 25 and face the cloth passing on the cloth carrier; the white light source 21 and the multicolor light source 22 are connected to the light source controller 4, the area camera 23 and the line camera 24 are connected to the industrial personal computer 3, the light source controller 4 and the industrial personal computer 3 are electrically connected with the embedded controller 5, and the embedded controller 5 is connected to the cloth carrier.
As an optimization scheme of the embodiment, the cloth carrying device comprises an unreeling roller 6, a reeling roller 7, a middle guide roller set 8, a driving shaft 9, a motor 10 and a driver 11, wherein the motor 10 is connected with the driving shaft 9 to drive the driving shaft to rotate; the driver 11 is connected with the embedded controller 5 and the motor 10, and the driver 11 receives the instruction of the embedded controller 5 and controls the motor 10 to run; the driving shaft 9 drives the wind-up roll 7, the unwinding roll 6 and the wind-up roll 7 are arranged at two ends of the frame 1, the middle part transmission roller set 8 is arranged at the middle section of the frame 1, cloth to be detected is placed on the unwinding roll 6 and sequentially passes through the middle part transmission roller set 8 to the wind-up roll 7, and the cloth is driven to move through the rotation of the wind-up roll 7, so that the cloth surface of the cloth sequentially passes through the lower part of the detection assembly 2.
As an optimization scheme of the above embodiment, the white light source 21 is a white annular light source, and the multicolor light source 22 is a multicolor bar light source; the multicolor strip light source adopts a variable color light source, or comprises a plurality of light sources with different colors, and preferably adopts three strip light sources of red, green and blue.
At least one linear array camera 24 is adopted, and the number of the linear array cameras 24 is selected according to the layout width.
A synchronizer is also included, which is connected to the embedded controller 5.
Also included are a safety light, a switch box 12 and a display 13.
The foregoing has shown and described the basic principles and main features of the present invention and the advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and that the above embodiments and descriptions are merely illustrative of the principles of the present invention, and various changes and modifications may be made without departing from the spirit and scope of the invention, which is defined in the appended claims. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. The visual detection method for the cloth cover defect is characterized in that the cloth cover detection device comprises a detection component (2), the cloth cover is detected through the detection component (2), the detection component (2) comprises a white light source (21), a multicolor light source (22), a surface array camera (23) and a linear array camera (24), and the visual detection method comprises the following steps:
s10, adjusting the white light source (21) to sequentially work at different brightness, and simultaneously capturing a picture under each brightness by using the area array camera (23);
s20, respectively calculating the mean value difference of pixels in each picture;
S30, judging the display color of the multicolor light source (22) according to the pixel mean value difference of the picture;
s40, calculating according to parameter values of the multicolor light source (22) and the white light source (21), and obtaining an optimal brightness parameter value of the selected multicolor light source (22);
s50, obtaining a brightness control proportion value of the optimal light source according to the optimal brightness parameter value;
S60, adjusting the multicolor light source (22) according to the display color and the optimal light source brightness control proportion value; and turning off the white light source (21);
s70, obtaining a picture under a set visual effect through a linear camera (24);
s80, performing cloth cover defect analysis by using the obtained picture under the set visual effect.
2. The visual inspection method of cloth cover defects according to claim 1, wherein the white ring light source is adjusted to work at 20%, 40%, 60%, 80%, 100% of brightness in sequence, and simultaneously a picture is respectively snapped at each brightness by the area camera (23) to obtain a picture group [ P1, P2, P3, P4, P5].
3. The visual inspection method of cloth cover defect according to claim 2, wherein R, G, B mean values of each pixel of each picture are calculated respectively, and then absolute values of differences between R, G, B mean values of each picture are calculated to obtain mean value differences of pixels in the pictures: pnRG, pnRB, pnGB;
wherein n is the number of pictures to be snap shot 1-5, RG represents the absolute value of the difference between R and G, RB represents the absolute value of the difference between R and B, and GB represents the absolute value of the difference between G and B.
4. A cloth cover defect visual inspection method according to claim 3, wherein the display color of the multicolor light source (22) is determined based on the pixel mean difference of the picture, comprising the steps of:
if the average value difference of at least 3 pictures is larger than a set threshold value and is the same average value difference, selecting the color with the maximum average value of R, G, B as the display color of the multicolor light source (22);
If the mean value difference of at least 3 pictures is larger than a set threshold value and is different, selecting the color with the largest mean value difference ratio as the display color of the multicolor light source (22);
if the mean value difference is not greater than the set threshold value, the display color of the multicolor light source (22) is set to be red.
5. A cloth cover defect visual inspection method according to claim 4, wherein the optimum brightness parameter value of the selected multi-color light source (22) is obtained according to calculation by the multi-color light source (22) and the white light source (21), comprising the steps of:
according to the formula of the brightness change curve of the light source Calculating an optimal luminance parameter value for the selected polychromatic light source (22);
D is the comparison debugging of each strip light source to the white light source (21), and corresponding fixed parameters are configured; y is the maximum average value R, G, B in the snap-shot picture, and x is the brightness control proportion value of the strip-shaped light source; b, c is the coefficient of the light source brightness change curve formula;
And calculating the values of b and c according to the selected 3 pictures with the largest mean value difference through the formula, and taking the calculated values as the optimal brightness parameter values of the selected multicolor light source (22).
6. The visual inspection method of cloth cover defect according to claim 5, wherein the brightness control ratio of the optimal light source is obtained according to the calculation of the optimal brightness parameter value, and the calculation formula is:
7. The visual inspection method of cloth cover defects according to claim 1, wherein the cloth cover inspection device further comprises a cloth carrying device, the cloth carrying device drives a driving shaft (9) to rotate through a motor (10), so that carrying of the inspected cloth is completed, and the cloth cover of the inspected cloth sequentially passes through the inspection assembly (2); and adjusting the synchronizer according to the operation data of the motor (10), and performing image capturing by the linear camera (24) in the detection assembly (2) according to the pulse interval output by the synchronizer.
8. A cloth cover defect visual detection device based on the cloth cover defect visual detection method as claimed in claim 1, which is characterized by comprising a frame (1), a cloth carrying device, a detection assembly (2), an industrial personal computer (3), a light source controller (4) and an embedded controller (5), wherein the cloth carrying device is arranged on the frame (1), and the detection assembly (2) is arranged above the cloth carrying device;
The detection assembly (2) comprises a white light source (21), a multicolor light source (22), an area array camera (23) and a linear array camera (24), wherein the white light source (21), the multicolor light source (22), the area array camera (23) and the linear array camera (24) are adjacently arranged on a support frame (25) and face the cloth carrier passing by; the white light source (21) and the multicolor light source (22) are connected to the light source controller (4), the area camera (23) and the linear camera (24) are connected to the industrial personal computer (3), the light source controller (4) and the industrial personal computer (3) are electrically connected with the embedded controller (5), and the embedded controller (5) is connected to the cloth carrying device.
9. The cloth cover defect visual inspection device according to claim 8, wherein the cloth carrying device comprises an unreeling roller (6), a reeling roller (7), a middle transmission roller set (8), a driving shaft (9), a motor (10) and a driver (11), wherein the motor (10) is connected with the driving shaft (9) to drive the cloth cover defect visual inspection device to rotate; the driver (11) is connected with the embedded controller (5) and the motor (10), and the driver (11) receives the instruction of the embedded controller (5) and controls the motor (10) to operate; the driving shaft (9) drives the wind-up roll (7), unreel roller (6) and wind-up roll (7) set up in the both ends of frame (1), and middle part passes guide roller group (8) and sets up in frame (1) middle section, waits to detect the cloth and put on unreel roller (6) to pass through middle part and pass through guide roller group (8) to wind-up roll (7) in proper order, rotate through wind-up roll (7) and drive the cloth and remove, make cloth cover pass through detection component (2) below in proper order.
10. A cloth cover defect visual inspection device according to claim 8, wherein said white light source (21) is a white ring light source and said multi-color light source (22) is a multi-color bar light source; the multicolor strip-shaped light source adopts a variable color light source, or comprises a plurality of light sources with different colors; adopting at least one linear array camera (24), and selecting the number of the linear array cameras (24) according to the layout width; also included is a synchronizer connected to the embedded controller (5).
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| CN114878587B (en) * | 2022-07-04 | 2022-09-20 | 南通市通州区磊香利纺织品有限公司 | A two-sided flaw cloth inspection machine for weaving cloth |
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