CN105185302B - Lamp position deviation modification method and its application between monochrome image - Google Patents
Lamp position deviation modification method and its application between monochrome image Download PDFInfo
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- CN105185302B CN105185302B CN201510541813.6A CN201510541813A CN105185302B CN 105185302 B CN105185302 B CN 105185302B CN 201510541813 A CN201510541813 A CN 201510541813A CN 105185302 B CN105185302 B CN 105185302B
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Abstract
The present invention relates to lamp position deviation modification method between a kind of monochrome image.The present invention is between the monochrome image that is likely to occur in big visual angle dot interlace gatherer process at present the problem of lamp space of points position deviation, using a certain monochrome image in monochrome image of multiple collected with color as referring to monochrome image, and the centre coordinate collection value with reference to the multiple lamp points oriented in monochrome image is entered into portable lighter position deviation amendment as benchmark to other remaining monochrome images, it can reduce or eliminate because of camera shake, camera or screen body block, lamp position deviation between image caused by non-static ambient light interference etc., it is and big using the camera fields of view of big visual angle acquisition correction, it can avoid frequently moving camera angle lenses, and then save a large amount of correction times.In addition, the invention also provides the bright concealed wire of display screen of lamp position deviation modification method between the application monochrome image determines method and uniformity correcting method.
Description
Technical Field
The invention relates to the technical field of display, in particular to a correction method for position deviation of light points among monochromatic images and application thereof.
Background
In recent years, the development of the manufacturing industry of domestic and foreign LED display screens gradually tends to small-spacing, super-large resolution and multi-batch, the development trends also directly determine that the correction industry of the LED display screens needs to make corresponding adjustment, and common multi-batch lamp point blending, lamp panel module blending, box body blending and the like are the traditional problems to be solved by correction, so that small-spacing and super-large resolution become new correction challenges. The small pitch means a small pitch of LED light points, for example, P1.5 (pixel pitch 1.5mm), P2 (pixel pitch 2mm), and the like. The continuous reduction of the LED distance means that the LED display screen is changed from long-distance viewing to short-distance viewing when the LED display screen enters the room from the outside, and in addition, the reduction of the LED distance also reduces the physical size of the box body, so that the resolution of the display screen with the same size is greatly improved, for example, the 2K and 4K resolution display screens on the market at present.
The LED display screen correction industry is facing the challenge of small-spacing and ultra-large resolution, however, due to the limitation of the number of CCD sensors of image acquisition devices such as cameras, the resolution of a single camera acquisition screen is also limited by accurately measuring the lighting chromaticity values of all LED lamps of the display screen, so that the ultra-large resolution display screen needs many partitions for correction, and finally, the boundary difference between all partitions is eliminated. While this is feasible, the calibration process takes too long, and calibration for very large resolution displays can take hours, which is unacceptable. Therefore, in recent years, a new acquisition correction mode, namely a large-view-angle alternate-point acquisition mode, appears in the industry, as shown in fig. 1 below.
The large-view-angle dot separation acquisition mode is to divide the entire LED display screen into a plurality of cells (e.g., 3 × 3 LED pixels in a rectangular dashed frame in fig. 1) with the same size, and then acquire a single LED pixel at the same position in a cell each time, and then it is necessary to capture a sub-picture (9 pairs, only a first sub-picture and a second sub-picture are shown in fig. 1 as a schematic) obtained by multiplying the number of rows of cells by the number of columns of cells to complete the brightness and chrominance acquisition of all LEDs in the entire display screen. The method has the advantages that the camera has a large measurement working visual angle, the lens angle of the camera does not need to be frequently moved in the correction process, and a large amount of correction time is saved; the wide view angle interval point collecting mode can refer to the invention patent application with the application number of 201310362893.X, entitled "image collecting method and display method for correcting LED display screen" applied by the electronic technology limited company of Nawa in 2013, 8/19, and the disclosure content of the invention is incorporated herein by reference.
However, in this way, after the collection of the brightness and chromaticity values and the lamp point coordinates of all the monochromatic images is completed, there is a risk that the spatial positions of the individual image lamp points are deviated due to the camera shaking during the collection process, and the brightness and chromaticity measurement values of the individual image lamps may be integrally different due to the shielding of the camera or the screen, the non-static ambient light interference, and the like.
Disclosure of Invention
Therefore, based on the defects of the large-view-angle dot separation collection mode in the prior art, the invention provides a correction method for the position deviation of the light points between the monochromatic images and the application thereof, so that the problem of the spatial position deviation of the light points between the monochromatic images caused by camera shake can be solved to a certain extent, and the large-view-angle dot separation collection mode can be more efficiently and more accurately applied to the uniformity correction of the display screen.
Specifically, an embodiment of the present invention provides a method for correcting a positional deviation of a light point between monochromatic images, including: (a) sequentially collecting a plurality of display pictures of a display screen target area to correspondingly obtain a plurality of monochromatic images with the same color, wherein the display screen target area comprises a plurality of cells which are repeatedly arranged along the row direction, each cell comprises a plurality of LED pixel points, each display picture is obtained by controlling to light one color LED lamp point of one LED pixel point at the same position in the plurality of cells, and the plurality of display pictures respectively correspond to the LED pixel points at different positions in the plurality of cells; (b) performing image processing on the plurality of monochromatic images to obtain central coordinate collection values of a plurality of lamp points positioned in each monochromatic image; (c) selecting one monochromatic image of the plurality of monochromatic images as a reference monochromatic image, and calculating center coordinate correction values of the plurality of lamp points located in all remaining monochromatic images of the plurality of monochromatic images except the reference monochromatic image, wherein the calculating of the center coordinate correction values of the plurality of lamp points located in each remaining monochromatic image comprises the sub-steps of: (c1) obtaining central coordinate target values of the plurality of lamp points positioned in the residual monochromatic image by using the central coordinate collection values of the plurality of lamp points positioned in the reference monochromatic image, the positions of the LED pixel points in the display picture corresponding to the reference monochromatic image in the cells, the positions of the LED pixel points in the display picture corresponding to the residual monochromatic image in the cells and the sizes of the cells; and (c2) obtaining center coordinate correction values of the plurality of lamp points located in the remaining monochrome image using the center coordinate collection values and the center coordinate target values of the plurality of lamp points located in the remaining monochrome image; and (d) combining the central coordinate collection values of the plurality of lamp points located in the reference monochrome image and the central coordinate correction values of the plurality of lamp points located in all the remaining monochrome images as the central coordinate data of the lamp points of the same color as the whole of the target area of the display screen.
In one embodiment of the present invention, the plurality of monochromatic images of the same color in the step (a) are a plurality of red images, a plurality of green images or a plurality of blue images.
In one embodiment of the present invention, the step (b) includes obtaining the collected value of the center coordinates of the plurality of lamp points located in each monochromatic image by using a gray scale centroid method or an ellipse fitting method.
In one embodiment of the present invention, the reference monochrome image in the step (c) is the first monochrome image acquired in the step (a).
In one embodiment of the present invention, the above sub-step (c2) comprises: constructing a first fitting matrix from the central coordinate acquisition values of the plurality of lamp points positioned in the residual monochromatic image by using a fitting polynomial equation based on a least square method; constructing a second fitting matrix by using the central coordinate target values of the plurality of lamp points positioned in the residual monochromatic image as a fitting result of the fitting polynomial equation; calculating a fitting coefficient matrix by using the first fitting matrix and the second fitting matrix; and substituting the fitting coefficient matrix into the fitting polynomial equation to calculate the center coordinate correction values of the plurality of lamp points positioned in the residual monochromatic image.
In another embodiment of the present invention, the above sub-step (c2) comprises: calculating an average value of deviations of the central coordinate acquisition values and the central coordinate target values of the plurality of lamp points located in the remaining monochromatic image; and subtracting the average deviation value from the central coordinate collection values of the plurality of lamp points positioned in the residual monochromatic image to obtain central coordinate correction values of the plurality of lamp points positioned in the residual monochromatic image.
In an embodiment of the invention, the display screen target area is an entire display area or a partial display area of the LED display screen.
In addition, the method for determining bright and dark lines of the display screen provided by the embodiment of the invention comprises the following steps: obtaining the central coordinate data of the whole same-color lamp points corresponding to the target area of the display screen by using any one of the above correction methods for the position deviation of the lamp points among the monochromatic images; calculating the effective light-emitting area of each lamp point in the central coordinate data, wherein the effective light-emitting area of each lamp point is equal to the area of a polygon formed by perpendicular bisectors of distance connecting lines from the central coordinate value of the lamp point to the central coordinate values of the adjacent lamp points; and determining the positions of bright and dark lines in the target area of the display screen according to the size distribution of the luminous effective area of each lamp point in the central coordinate data.
Furthermore, a method for correcting uniformity of a display screen according to an embodiment of the present invention includes: obtaining the central coordinate data of the whole same-color lamp points corresponding to the target area of the display screen by using any one of the above correction methods for the position deviation of the lamp points among the monochromatic images; calculating the effective light-emitting area of each lamp point in the central coordinate data, wherein the effective light-emitting area of each lamp point is equal to the area of a polygon formed by perpendicular bisectors of distance connecting lines from the central coordinate value of the lamp point to the central coordinate values of the adjacent lamp points; obtaining a relative brightness value of each of the plurality of light points located in each of the monochromatic images; calculating to obtain an area compensated brightness value of each lamp point based on the relative brightness value and the effective light-emitting area of each lamp point; and obtaining the brightness correction coefficient of the physical lamp points corresponding to each lamp point in the target area of the display screen according to the difference between the area-compensated brightness value and the brightness correction target value of each lamp point.
In addition, another display screen uniformity correction method provided by the embodiment of the invention comprises the following steps: obtaining the central coordinate data of the whole same-color lamp points corresponding to the target area of the display screen by using any one of the above correction methods for the position deviation of the lamp points among the monochromatic images; calculating the effective light-emitting area of each lamp point in the central coordinate data, wherein the effective light-emitting area of each lamp point is equal to the area of a polygon formed by perpendicular bisectors of distance connecting lines from the central coordinate value of the lamp point to the central coordinate values of the adjacent lamp points; obtaining a relative brightness value of each of the plurality of positioned light points in each of the plurality of monochromatic images, and normalizing the relative brightness values of the plurality of positioned light points in the plurality of monochromatic images to obtain a normalized brightness value of each of the light points; calculating to obtain an area compensated brightness value of each lamp point based on the normalized brightness value and the effective light-emitting area of each lamp point; and obtaining the brightness correction coefficient of the physical lamp points corresponding to each lamp point in the target area of the display screen according to the difference between the area-compensated brightness value and the brightness correction target value of each lamp point.
As can be seen from the above, in the embodiment of the present invention, for solving the problem of spatial position deviation of light points between single color images that may occur in the current large-viewing-angle dot separation collection process, the light point position deviation correction is performed on other remaining single color images by using one single color image of the collected multiple single color images of the same color as a reference single color image and using the central coordinate collection values of the multiple light points located in the reference single color image as a reference, and the following one or more beneficial effects can be achieved: i) the lamp point position deviation among the images generated by camera shake, camera or screen body shielding, non-static ambient light interference and the like is reduced or eliminated; and ii) the camera using the large visual angle to collect and correct has a large visual field, so that the frequent movement of the lens angle of the camera can be avoided, and a large amount of correction time can be saved.
Other aspects and features of the present invention will become apparent from the following detailed description, which proceeds with reference to the accompanying drawings. It is to be understood, however, that the drawings are designed solely for purposes of illustration and not as a definition of the limits of the invention, for which reference should be made to the appended claims. It should be further understood that the drawings are not necessarily drawn to scale and that, unless otherwise indicated, they are merely intended to conceptually illustrate the structures and procedures described herein.
Drawings
The following detailed description of embodiments of the invention will be made with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a large-view-angle dot separation acquisition mode.
FIG. 2 is a diagram illustrating region location and point location results in image processing according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
Specifically, a method for correcting a positional deviation of a light spot between monochromatic images according to an embodiment of the present invention is implemented by, for example, the following steps (1), (2), and (3):
step (1): the monochromatic image group is obtained by acquiring the display picture of the target area of the display screen through an image acquisition device such as a camera, so that the central coordinate acquisition value of each positioned light point in each monochromatic image of the monochromatic image group can be calculated subsequently. Specifically, taking an RGB full-color LED display screen and a cell size of 3 × 3 as an example, three monochromatic image groups such as a red image group, a green image group, and a blue image group can be obtained by collecting a display picture in a target area of the display screen by a camera, and each monochromatic image group has nine monochromatic images; the target area of the display screen can be the whole display area of the LED display screen or the local display area of the LED display screen; the display screen of the target area of the display screen can be displayed according to the application number 201310362893.X applied by the electronic technology limited company of Simian Nowa in 2013, 8 and 19, the dot-blanking mode shown in fig. 3 in the specification accompanying drawing of the invention patent application entitled "an image acquisition method and a display method for correction of an LED display screen" is obtained, that is, for acquiring each group of monochromatic images, the dot-blanking mode is to sequentially light the same color light points in each of a plurality of unit cells repeatedly arranged in the row direction [1,1], [1,2], [1,3], [2,1], [2,2], [2,3], [3,1], [3,2], [3,3] so as to obtain nine sets of monochromatic images such as nine sets of red images, nine sets of green images or nine sets of blue images, and correspondingly, the sequence numbers of the nine monochromatic images acquired are 1 to 9; the monochrome picture is a picture obtained by controlling and lighting physical light points (for example, red light points, green light points, or blue light points) of one color of one pixel point at the same position in each cell in the target area. It should be noted that the size of the cell is usually determined by the number of pixels (or physical resolution) in the target area of the display screen and the resolution of the image capturing device.
After obtaining the required monochromatic image group, performing area positioning and point positioning (as shown in fig. 2) on each monochromatic image, and calculating the center coordinates (or center coordinate collection values) of each lamp point positioned by the point positioning; here, region positioning and point positioning are mature techniques in image processing, and will not be described in detail here. The method for calculating the center coordinates of the light points may be a gray scale gravity center method, such as the gray scale gravity center method disclosed in the patent application filed by the university of sienna electronics and the company of sienna nova electronics limited under the co-pending application No. 201410034968.6 on 24/01/2014, entitled "brightness correction method and apparatus for LED display device", the entire disclosure of which is incorporated herein by reference, in which the gray scale gravity center coordinates of each light point located by a point are taken as the center coordinates of each light point; of course, the method for calculating the center coordinates of the lamp points may also use other algorithms, such as an ellipse fitting method, which obtains the center of an ellipse by performing ellipse fitting on the boundary of each lamp point located by the point, and then uses the obtained center coordinates of the ellipse as the center coordinates of the corresponding lamp point.
Of course, to prepare for subsequent brightness correction, the relative brightness values of each lamp spot located in each monochromatic image may be further calculated after the spot location, specifically:
calculating the relative brightness acquisition value of each lamp point by using the sum of the G components of the image pixel points corresponding to the lamp points positioned by each point, wherein the specific calculation formula is as follows: l isi＝Gi×L/GaverWherein L isiFor the relative brightness of the lamp point, GiIs the G component value of the lamp point (i.e. the sum of the G component values of the corresponding image pixel points), L is the global brightness value and can be a default value (usually an empirical value) or a value collected by a colorimeter (e.g. the brightness value collected when all the same color lamp points in the target area of the display screen are lighted), G is the global brightness valueaverThe average value of the G component values of all the lamp points located in the single color image, i is the serial number of the lamp point. It is understood that the red (R), green (G), and blue (B) lamp points are not limited to the calculation of the relative brightness values by using the G components thereof, and the relative brightness acquisition values may be calculated by using linear combination values of the R components, the B components, or the RGB components thereof; only experiments show that the G component of the RGB three-color LED lamp spot collected by the camera is relatively accurate, so the G component is preferably selected to calculate the relative brightness collection value.
In addition, if brightness and chrominance correction is required instead of simple brightness correction subsequently, the relative chrominance values of the lamp points positioned by the points can be directly set as default values or acquired by collecting the chrominance values of all the lamp points with the same color in a target area of the display screen by means of a colorimeter, and the setting mode of the relative chrominance values is mainly applied to the condition that the brightness and chrominance uniformity among a plurality of boxes in the LED display screen is good. Here, for each lamp point located at each point, the assignment of the relative chromaticity value may be:
xi＝x；yi＝y
wherein (x)i,yi) For the color coordinates of each lamp point, (x, y) are default color coordinates or color coordinates acquired by a colorimeter, and i is a lamp point serial number.
In addition, if there is an overall difference in the lamp luminance chromaticity values between the monochromatic images due to the shielding of the camera or the display screen body, non-static ambient light interference, etc., the solution can be solved by normalizing the relative luminance chromaticity values of all the monochromatic images, for example, normalizing the relative luminance collected value of each monochromatic image to a fixed value of 1000 (chroma theorem) and calculating the following formula:
Li′＝Li×1000/Laver
wherein L isiFor the relative brightness acquisition value of the ith lamp point, LaverThe average value, L, of the relative brightness collected values of all the lamp points in the same monochromatic imagei' is the normalized brightness value of the ith lamp point, and i is the serial number of the lamp point;
step (2): a single color image is selected from the group of single color images as a reference single color image, and center coordinate correction values of the lamp dots positioned in the remaining single color images other than the reference single color image in the group of single color images are calculated.
For each monochrome image group, for example, the central coordinate correction value of each lamp point located in the first monochrome image (the lamp point of one color in the pixel [1,1] corresponding to each cell is controlled to be turned on) in the monochrome image group is taken as a reference (i.e. the first monochrome image is taken as a reference monochrome image here), and the central coordinate correction value of each lamp point located in each subsequent monochrome image (i.e. the remaining monochrome images) is calculated as follows:
firstly, a central coordinate target value target of each positioned lamp point in the current monochromatic image is calculated according to the serial number of the current monochromatic image (namely the position of the corresponding pixel point in the cell), the size of the cell, the central coordinate collection value of each positioned lamp point in the first monochromatic image and the like, for example, the cell size is 3 x 3, the serial number of the current monochromatic image is 2 (namely, each positioned lamp point in the current monochromatic image corresponds to the pixel point [1,2] in the 3 x 3 cell), and then the distances between the adjacent lamp points in the row direction and the column direction are calculated by combining the central coordinate collection values of each positioned lamp point in the first monochromatic image (reference monochromatic image), and further the central coordinate target value target of each positioned lamp point in the current monochromatic image is calculated.
Here, for the first monochrome image (image number 1), since the cell size is 3 × 3, two physical pixel points are separated between two physical pixel points in the target area of the display screen corresponding to two adjacent lamp points in the row direction and the column direction, respectively, it is assumed that the distance between two adjacent lamp points (i.e., the row direction distance difference between the central coordinate collection values) corresponding to the respective pixel points [1,1] in the row direction and the adjacent two lamp points in the target area of the display screen in the row direction of the adjacent two cell U1 and U2 in the row direction of the target area of the display screen is a (see fig. 2), the distance between two adjacent lamp points corresponding to the respective pixel points [1,1] in the target area of the display screen in the column direction (i.e., the column direction distance difference between the central coordinate collection values) in the first monochrome image is b (see fig. 2), and, And the central coordinate collection value of the lamp point corresponding to the pixel [1,1] in the cell U1 on the first monochromatic image is (x1, y1), the central coordinate target value of the lamp point corresponding to the pixel [1,2] in the cell U1 on the second monochromatic image (image number 2) is (x1+ a/3, y1), the central coordinate target value of the lamp point corresponding to the pixel [1,3] in the cell U1 on the third monochromatic image (image number 3) is (x1+2a/3, y1), the central coordinate target value of the lamp point corresponding to the pixel [2,1] in the cell U1 on the fourth monochromatic image (image number 4) is (x1, y1+ b/3), and so on, the pixel [ 1] in the cell U1 can be calculated based on the central coordinate collection value of the lamp point corresponding to the pixel [1,1] in the monochromatic image in the cell U1, 2,1, 3,2, 1,2, 3,1, 3,2, 3. The calculation method of the central coordinate target value of the light point on the monochromatic image corresponding to the pixel points [1,2], [1,3], [2,1], [2,2], [2,3], [3,1], [3,2], [3,3] in the other cells can refer to the cell U1, and thus, the description thereof is omitted.
Then, according to the target value target of the center coordinate of each lamp point located in the current monochromatic image and the collected value Originals of the center coordinate of each lamp point located in the current monochromatic image (that is, the center coordinate value of the lamp point obtained by calculation by the gray scale gravity center method, the ellipse fitting method and the like after the point is located), the correction value Facts of the center coordinate of each lamp point located in the current monochromatic image is calculated by using the polynomial fitting method based on the least square method, and the calculation process is as follows:
a polynomial fitting method based on a least square method comprises the following steps of:
f(x,y)＝c1+c2x+c3y+c4xy+c5x2+c6y2+c7xy2+c8x2y+c9x3+c10y3
firstly, a fitting B matrix is constructed by using a central coordinate acquisition value Originals of each lamp point positioned in the current monochromatic image as follows:
wherein (x)n,yn) Acquiring a central coordinate acquisition value of the nth lamp point in the positioned central coordinate acquisition values Originals of the lamp points;
next, a fitting Z matrix is constructed as a fitting result of a cubic fitting polynomial equation by using the target values target of the center coordinates of the lamp points located in the current monochromatic image, as follows:
wherein, (x'n,y′n) The target value of the center coordinate of the nth lamp point in the target values of the center coordinates of the positioned lamp points;
then, calculating a fitting coefficient C matrix according to the fitting Z matrix and the fitting B matrix:
C＝[BTB]-1[BTZ]
wherein, BTIs a transposed matrix fitting the B matrix;
and finally, substituting the fitting coefficient C matrix into a cubic fitting polynomial equation to obtain central coordinate correction values Facts of all the lamp points positioned in the current monochromatic image, wherein the central coordinate correction values Facts are as follows:
F＝C*[1 x y xy x2y2xy2x2y x3y3]T
wherein C is a fitting coefficient, and F is a center coordinate correction value Facts of each lamp point located in the current monochrome image.
It should be noted that the calculation of the center coordinate correction values Facts for the respective lamp dots located by the monochrome images is not limited to the 1 st monochrome image (image number 1) as the reference monochrome image, and any one of the monochrome images in the group of monochrome images can be used as the reference monochrome image.
And (3): after the central coordinate correction values Facts of the lamp points positioned in the remaining monochromatic images except the reference monochromatic image in the monochromatic image group are calculated, the central coordinate collection values Originals of the lamp points positioned in the reference monochromatic image and the central coordinate correction values Facts of the lamp points positioned in the remaining monochromatic images except the reference monochromatic image in the monochromatic image group are combined to be the central coordinate data of the lamp points of the same color as the whole corresponding to the target area of the display screen. Here, taking the cell size of 3 × 3 as an example, the number of sets of monochrome images (for example, a set of red images, a set of green images, or a set of blue images) is nine, and the center coordinate collection values Originals of the respective lamp dots located in one of the monochrome images (reference monochrome image) and the center coordinate correction values Facts of the respective lamp dots located in the remaining eight monochrome images are combined together.
In other embodiments of the present invention, the calculation of the center coordinate correction values Facts of the lamp points located in the current monochrome image is not limited to the least-squares-based polynomial fitting method, and other methods may be used, such as the following:
directly calculating the average deviation value (averX, averY) between the central coordinate collection value Originals of each positioned lamp point in the current monochromatic image and the central coordinate target value target of each positioned lamp point in the current monochromatic image, and then correcting (averX, averY) the central coordinate collection values Originals of each positioned lamp point in the current monochromatic image to obtain the central coordinate correction value Facts of each positioned lamp point in the current monochromatic image; wherein,
FactsXi＝OriginalsXi-averX
FactsYi＝OriginalsYi-averY
wherein i is the lamp point number, and n is the number of the positioned lamp points in the current monochrome image.
In addition, after the merged central coordinate data of the lamp points with the same color corresponding to the whole target area of the display screen is obtained by using the lamp point position deviation correction method proposed in the above embodiment, on one hand, the present invention can calculate the effective light-emitting area S of each positioned lamp point by using the merged central coordinate data of the lamp pointsiDetermining the position (or called bright and dark line position) of a bright line or a dark line in the target area of the display screen by analyzing the size distribution of the luminous effective area of each positioned lamp point; on the other hand, after calculating the effective light-emitting area of each positioned lamp point, the area-compensated brightness value of each lamp point, that is, the relative brightness value L, can be further calculatediAnd the average value of the light-emitting effective area of each lamp pointIs divided by the effective light-emitting area SiQuotient of (1)Value ofOr normalized luminance value Li' and average value of light-emitting effective area of each lamp pointIs divided by the effective light-emitting area SiQuotient of (2)The specific method for calculating the effective light-emitting area of the lamp point in the invention patent application, which is commonly applied to the university of sienna electronic technology and the limited company of sienna novawa electronic technology at 24.01.2014, is No. 201410034968.6, entitled "method and apparatus for luminance correction of LED display device", the disclosure of which is incorporated herein by reference, and the effective light-emitting area of the lamp point located in the invention patent application is equal to the area of a polygon enclosed by perpendicular bisectors of distance connecting lines from the center coordinates of the lamp point to the center coordinates of the lamp points adjacent to the center coordinates of the lamp point, the neighboring multiple lamp points are, for example, four neighboring lamp points or eight neighboring lamp points of the center lamp point. In addition, it is worth to say that the luminance after the area compensation is multiplied by the average value of the light-emitting effective area in calculating the luminanceBecause of the aforementioned calculated relative luminance value LiOr normalized luminance value LiThe value of' is generally small, it is directly related to the light-emitting effective area SiIs smaller, which may result in the calculated luminance correction factor being less accurate, and is therefore preferably multiplied by the mean value of the luminous effective areaEnsuring the brightness and relative brightness value L after area compensationiOr normalized luminance value LiThe values of' are substantially at the same level.
In summary, the above embodiments of the present invention can achieve one or more of the following advantages by taking a single color image of a plurality of collected single color images of the same color as a reference single color image and taking the central coordinate collection values of a plurality of lamp points located in the reference single color image as a reference to correct the lamp point position deviation of the other remaining single color images, in view of the problem of the lamp point spatial position deviation between the single color images that may occur in the current large-viewing angle dot separation collection process: i) the lamp point position deviation among the images generated by camera shake, camera or screen body shielding, non-static ambient light interference and the like is reduced or eliminated; and ii) the camera which acquires and corrects by using a large visual angle has a large visual field, so that the frequent movement of the lens angle of the camera can be avoided, and further, a large amount of correction time is saved.
So far, the principle and the implementation of the method for correcting the position deviation of the light point between the monochromatic images and the application thereof are explained by applying a specific example, and the above description of the embodiment is only used for helping understanding the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention, and the scope of the present invention should be subject to the appended claims.
Claims (10)
1. A method for correcting positional deviation of light dots between monochrome images, comprising the steps of: (a) sequentially collecting a plurality of display pictures of a display screen target area to correspondingly obtain a plurality of monochromatic images with the same color, wherein the display screen target area comprises a plurality of cells which are repeatedly arranged along the row direction, each cell comprises a plurality of LED pixel points, each display picture is obtained by controlling to light one color LED lamp point of one LED pixel point at the same position in the plurality of cells, and the plurality of display pictures respectively correspond to the LED pixel points at different positions in the plurality of cells; it is characterized by also comprising the following steps:
(b) performing image processing on the plurality of monochromatic images to obtain central coordinate collection values of a plurality of lamp points positioned in each monochromatic image;
(c) selecting one monochromatic image of the plurality of monochromatic images as a reference monochromatic image, and calculating center coordinate correction values of the plurality of lamp points located in all remaining monochromatic images of the plurality of monochromatic images except the reference monochromatic image, wherein the calculating of the center coordinate correction values of the plurality of lamp points located in each remaining monochromatic image comprises the sub-steps of:
(c1) obtaining central coordinate target values of the plurality of lamp points positioned in the residual monochromatic image by using the central coordinate collection values of the plurality of lamp points positioned in the reference monochromatic image, the positions of the LED pixel points in the display picture corresponding to the reference monochromatic image in the cells, the positions of the LED pixel points in the display picture corresponding to the residual monochromatic image in the cells and the sizes of the cells; and
(c2) obtaining central coordinate correction values of the plurality of lamp points positioned in the residual monochromatic image by using the central coordinate collection values and the central coordinate target values of the plurality of lamp points positioned in the residual monochromatic image; and
(d) and combining the central coordinate collection values of the plurality of lamp points positioned in the reference monochromatic image and the central coordinate correction values of the plurality of lamp points positioned in all the remaining monochromatic images as the central coordinate data of the lamp points of the same color in the whole display screen target area.
2. The method for correcting a positional deviation of a light point between monochromatic images according to claim 1, wherein in the step (a), the plurality of monochromatic images of the same color are a plurality of red images, a plurality of green images or a plurality of blue images.
3. The method according to claim 1, wherein the step (b) includes obtaining the collected values of the center coordinates of the plurality of lamp dots located in each of the monochrome images by a gray center-of-gravity method or an ellipse fitting method.
4. A method for correcting a positional deviation of a light spot between monochromatic images according to claim 1, wherein the reference monochromatic image in step (c) is the first monochromatic image acquired in step (a).
5. A method for correcting a positional deviation of a light point between monochrome images according to claim 1, wherein the sub-step (c2) comprises:
constructing a first fitting matrix from the central coordinate acquisition values of the plurality of lamp points positioned in the residual monochromatic image by using a fitting polynomial equation based on a least square method;
constructing a second fitting matrix by using the central coordinate target values of the plurality of lamp points positioned in the residual monochromatic image as a fitting result of the fitting polynomial equation;
calculating a fitting coefficient matrix by using the first fitting matrix and the second fitting matrix; and
and substituting the fitting coefficient matrix into the fitting polynomial equation to calculate the central coordinate correction values of the plurality of lamp points positioned in the residual monochromatic image.
6. A method for correcting a positional deviation of a light point between monochrome images according to claim 1, wherein the sub-step (c2) comprises:
calculating an average value of deviations of the central coordinate acquisition values and the central coordinate target values of the plurality of lamp points located in the remaining monochromatic image; and
and subtracting the average deviation value from the central coordinate collection values of the plurality of lamp points positioned in the residual monochromatic image to obtain central coordinate correction values of the plurality of lamp points positioned in the residual monochromatic image.
7. The method for correcting positional deviation of light points between monochrome images according to claim 1, wherein the display screen target area is an entire display area or a partial display area of the LED display screen.
8. A method for determining bright and dark lines of a display screen is characterized by comprising the following steps:
acquiring central coordinate data of the entire same-color light points corresponding to the target area of the display screen by using the correction method of positional deviation of light points between monochrome images according to any one of claims 1 to 7;
calculating the effective light-emitting area of each lamp point in the central coordinate data, wherein the effective light-emitting area of each lamp point is equal to the area of a polygon formed by perpendicular bisectors of distance connecting lines from the central coordinate value of the lamp point to the central coordinate values of the adjacent lamp points; and
and determining the positions of bright and dark lines in the target area of the display screen according to the size distribution of the luminous effective area of each lamp point in the central coordinate data.
9. A display screen uniformity correction method is characterized by comprising the following steps:
acquiring central coordinate data of the entire same-color light points corresponding to the target area of the display screen by using the correction method of positional deviation of light points between monochrome images according to any one of claims 1 to 7;
calculating the effective light-emitting area of each lamp point in the central coordinate data, wherein the effective light-emitting area of each lamp point is equal to the area of a polygon formed by perpendicular bisectors of distance connecting lines from the central coordinate value of the lamp point to the central coordinate values of the adjacent lamp points;
obtaining a relative brightness value of each of the plurality of light points located in each of the monochromatic images;
calculating to obtain an area compensated brightness value of each lamp point based on the relative brightness value and the effective light-emitting area of each lamp point; and
and obtaining the brightness correction coefficient of the physical lamp points corresponding to each lamp point in the target area of the display screen according to the difference between the area-compensated brightness value and the brightness correction target value of each lamp point.
10. A display screen uniformity correction method is characterized by comprising the following steps:
acquiring central coordinate data of the entire same-color light points corresponding to the target area of the display screen by using the correction method of positional deviation of light points between monochrome images according to any one of claims 1 to 7;
calculating the effective light-emitting area of each lamp point in the central coordinate data, wherein the effective light-emitting area of each lamp point is equal to the area of a polygon formed by perpendicular bisectors of distance connecting lines from the central coordinate value of the lamp point to the central coordinate values of the adjacent lamp points;
obtaining a relative brightness value of each of the plurality of positioned light points in each of the plurality of monochromatic images, and normalizing the relative brightness values of the plurality of positioned light points in the plurality of monochromatic images to obtain a normalized brightness value of each of the light points;
calculating to obtain an area compensated brightness value of each lamp point based on the normalized brightness value and the effective light-emitting area of each lamp point; and
and obtaining the brightness correction coefficient of the physical lamp points corresponding to each lamp point in the target area of the display screen according to the difference between the area-compensated brightness value and the brightness correction target value of each lamp point.
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| CN107633806B (en) * | 2016-07-15 | 2019-12-24 | 西安诺瓦星云科技股份有限公司 | Shading correction processing method for LED display device |
| CN107230442B (en) * | 2017-05-22 | 2020-10-27 | 苏州科达科技股份有限公司 | LED display screen lamp point positioning method and device |
| CN114208153B (en) * | 2019-08-20 | 2023-03-10 | 华为技术有限公司 | Multi-shot image capture without anti-shake |
| CN112785963B (en) * | 2019-11-06 | 2022-02-08 | 杭州海康威视数字技术股份有限公司 | LED lamp bead positioning method and device and storage medium |
| CN111210764B (en) * | 2020-01-21 | 2021-01-12 | 卡莱特（深圳）云科技有限公司 | LED screen correction method and correction device |
| CN111553912A (en) * | 2020-05-08 | 2020-08-18 | 视睿（杭州）信息科技有限公司 | Industrial particle continuous product image cutting method and device based on template matching |
| CN113450688A (en) * | 2020-07-09 | 2021-09-28 | 重庆康佳光电技术研究院有限公司 | Display screen compensation method and device and electronic equipment |
| CN112634823B (en) * | 2020-12-29 | 2022-11-15 | 深圳Tcl数字技术有限公司 | Display screen box body edge parameter correction method and device, equipment and storage medium |
| CN113257181B (en) * | 2021-06-29 | 2021-10-22 | 卡莱特云科技股份有限公司 | LED screen correction image acquisition method, correction method, acquisition device and correction system |
| CN113571010B (en) * | 2021-07-29 | 2022-10-21 | 西安诺瓦星云科技股份有限公司 | Brightness and chrominance information acquisition method, device and system and computer readable storage medium |
| KR20240122509A (en) * | 2021-12-16 | 2024-08-12 | 제이드 버드 디스플레이(상하이) 리미티드 | System for detecting pixel defects |
| TWI860210B (en) * | 2023-12-15 | 2024-10-21 | 大陸商北京集創北方科技股份有限公司 | LED display calibration method and system |
| CN119104557A (en) * | 2024-09-06 | 2024-12-10 | 江苏普尔泰汽车配件有限公司 | A visual inspection method for defects in automotive interior parts |
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