CN112086048B - OLED screen bright spot repairing method and device - Google Patents

OLED screen bright spot repairing method and device Download PDF

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CN112086048B
CN112086048B CN202010897367.3A CN202010897367A CN112086048B CN 112086048 B CN112086048 B CN 112086048B CN 202010897367 A CN202010897367 A CN 202010897367A CN 112086048 B CN112086048 B CN 112086048B
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CN112086048A (en
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张志强
王正根
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Maiwei Technology Zhuhai Co ltd
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Suzhou Maxwell Technologies Co Ltd
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    • G09G3/006Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays

Abstract

The invention discloses a method and a device for repairing an OLED screen bright spot, and belongs to the technical field of repairing screen pixel points in the display industry. Aiming at the problems that the manual repair efficiency of the screen highlight is low, the effect is poor, the automatic repair cannot carry out customized repair on different pixels, the edge after the highlight is repaired is easy to leak light, faint glow and the like in the prior art, the invention provides a repair method, pixel point templates with different color types are manufactured in a visual unit by classifying the colors of screen pixel points, the repair track of the pixel points is further determined, and the highlight is identified and positioned according to pixel point images with different color types when being positioned; and the laser repair unit respectively configures laser repair process parameters according to the pixel points of different color types, so that the repair and detection of the bright spot of the screen are realized. When the bright spot is repaired, corresponding repairing tracks and laser repairing process parameters are flexibly set for pixel points of different color types, so that the repairing efficiency is improved, and the reliability is high.

Description

OLED screen bright spot repairing method and device
Technical Field
The invention relates to the technical field of screen pixel point repair in the display industry, in particular to a method and a device for repairing an OLED screen bright spot.
Background
An organic light-Emitting Diode (OLED) is a device that generates electroluminescence by using a multi-layer organic thin film structure, is easy to manufacture, and requires only a low driving voltage, and these main characteristics make the OLED very prominent in applications satisfying flat panel displays. Compared with an LCD, the OLED display screen is thinner and lighter, has high brightness, low power consumption, quick response, high definition, good flexibility and high luminous efficiency, and can meet the new requirements of consumers on display technology. More and more display manufacturers worldwide are invested in research and development, and the industrialization process of the OLED is greatly promoted.
In recent years, OLED hard screens and flexible screens are increasingly applied to various display fields. In the actual production process, the OLED screen has various defects, one of which is an exposure point, and the defects cause that the screen body is continuously bright in a dark field, and cause that the screen body has uneven brightness in normal use, thereby influencing the production yield of products. The traditional screen bright spot repairing method is mainly manual, and an automatic repairing mode also appears in recent years, for example, the Chinese patent application with the application number of CN201410133355.8 discloses an OLED panel display defect repairing method, which utilizes emitted laser beams to accurately repair display defects and belongs to automatic repairing.
Whether manual repair or automatic repair, the repair process of the prior art is mainly divided into several steps: firstly, lightening a screen body; secondly, roughly positioning the position of the bright spot in a low-resolution and large-field camera in a dark field mode; and thirdly, accurately positioning the position of the bright spot under a high-resolution camera (a microscope lens) to guide laser repair. The manual repair mode depends on manpower, the repair efficiency is low, and missing detection is easy to occur; the automatic repairing method is to position the position of the bright spot under the microscope lens, and the current main repairing method is to extract the bright pixel bounding box or the outline edge of the bright pixel as the laser repairing track. The different pixels can not be repaired in a customized manner, so that the problems of incomplete repair, light leakage, weak glow and the like at the edge after the bright spot is repaired are easily caused.
Disclosure of Invention
1. Technical problem to be solved
The invention provides an OLED screen bright spot repairing method and device, aiming at the problems that in the prior art, manual repair efficiency of a screen bright spot is low, the effect is poor, automatic repair cannot be carried out on different pixels in a customized mode, light leakage and weak glow easily occur on the edge after bright spot repair, and the like.
2. Technical scheme
The purpose of the invention is realized by the following technical scheme.
A control unit controls a visual unit to respectively manufacture pixel point templates corresponding to different color types through color classification of pixel points, and a repair track is determined; when the screen bright spot is positioned, pixel point images of different color types are respectively identified and positioned; the laser repairing unit respectively configures different laser repairing process parameters for the pixel points with different color types, so that the bright spot on the screen can be repaired and detected.
Generally, pixel points of a screen comprise light-emitting units with three different colors, namely B (blue), G (green) and R (red), and the method and the device set corresponding repair tracks and laser repair process parameters aiming at the pixel points with different color types, further respectively identify and position the pixel points with different color types when identifying and positioning the highlight points, repair the pixel points with each color type, avoid the problems of light leakage, weak glow and the like after the screen is repaired, and have good repair effect and high compatibility.
Furthermore, when the visual unit is used for manufacturing the pixel point template, the area to be repaired of the screen is cut, the pixel point template image is extracted, the outer contour of the pixel point template image is drawn on the extracted pixel point template image in a multi-line mode, and the outer contour line frame repairing track of the pixel point template image is stored as the pixel point template. When the outer contour laser processing track of the pixel point template is generated, the rectangular frame is used as an ROI (Region of Interest), and the image is cut to extract the pixel point template. As a refinement of the present invention, the ROI may also be of other shapes.
Furthermore, the visual unit also comprises a solid track repairing line segment when the pixel point template is manufactured, after the outline wireframe repairing track of the pixel point template image is generated, whether solid scanning is performed or not is determined, if solid scanning is selected, solid track filling is performed, a solid track repairing line is generated and stored as the pixel point template. The laser processing track of solid scanning is represented as a plurality of repairing lines in an outer contour line frame of the pixel point image, and the repairing lines are preferably arranged in parallel. The distance between the solid track repair lines can be determined according to the line width of the laser, so that the laser can completely cover the range of the wire frame when moving along the repair lines.
Furthermore, the control unit controls the screen body lighting unit to light the screen, the screen pixel points display black, the visual unit searches and cuts the outline of the screen to find the outline of the bright spot, identifies color information in the area of the outline of the bright spot, matches the color information with the pixel point template of the corresponding color type, and positions the bright spot of the screen and the laser processing track of the bright spot.
Furthermore, when the screen contour is segmented, self-adaptive binarization is carried out on the image, a region growing algorithm is used for searching the contour, the area and the length-width ratio of the contour are filtered, the influence of noise points is removed, and the contour of the highlight pixel point is obtained.
Furthermore, when the bright spot of the screen is repaired, different laser repairing tracks and different laser repairing processes are respectively arranged on pixel points with different color types, and when the pixel point image is positioned, the visual unit identifies the pixel point image through a color identification method in an image algorithm; the visual unit matches the pixel point images through the contour-based image recognition algorithm, and the visual unit matches the pixel point images through the contour-based image recognition algorithm, so that the contour-based recognition algorithm has better recognition efficiency and stronger robustness, and is not influenced by the gray level change of the images.
Furthermore, the image recognition algorithm based on the contour comprises the steps of training template images at different angles according to the edge strength of the images, extracting characteristic points of the template images by using a Canny operator, sorting the characteristic points according to the descending order of the edge strength, filtering points with weak edge characteristics, classifying the points according to the edge gradient direction, filtering the points which are not concentrated in the edge gradient direction according to the neighborhood relation of the edge points, normalizing the points which meet the conditions, and storing the points as the template; selecting a search image, calculating edge feature points of the image according to the template feature point calculation method, and calculating the similarity between the image in a search image sliding window and the template image according to the size of the template image; and traversing the image, and selecting a window area with high similarity as a matching area. The method is based on a template matching algorithm, the rotation angle and the position of the highlight pixel point relative to the template image are positioned, the corresponding repairing track is accurately covered on the pixel point, and laser repairing is carried out according to laser repairing process parameters which are set corresponding to different color types.
Furthermore, after the similarity is calculated, normalization processing is carried out, a threshold value is set, the similarity is calculated in real time when the image searching template is traversed, when the calculated similarity value is lower than the threshold value, searching for a matched image is stopped, and a window slides to the next area to continue searching;
the similarity calculation formula is as follows:
SimScore+=grad[i][j][k], (1)
Figure BDA0002658819090000031
in the formula (1), grad is an edge feature point of an image in a normalized window, i is id of a stored template, j and k are feature point coordinates in the template, and SimScore is a matching score of the current template; in the formula (2), num is the number of feature points in the template, cur is the number of feature points currently calculated, greed is a greedy threshold,
Figure BDA0002658819090000032
is a similarity threshold.
Furthermore, the laser repair process parameters comprise the spot size, the duty ratio and the laser power of the laser. Different laser repair process parameters are respectively configured for pixel points with different colors, the selection and configuration mode of the laser repair process parameters are not limited, and the selection of the process parameters mainly controls the size of a light spot and the laser power during laser repair.
The method can flexibly carry out customized repair on the pixel points with different colors, improves the repair and detection efficiency of the bright spot of the OLED screen, and has flexible and convenient operation and high reliability.
The OLED screen bright spot repairing device comprises a visual unit, a screen body lightening unit, a laser repairing unit and a control unit, wherein the visual unit, the screen body lightening unit and the laser repairing unit are all connected with the control unit, and the screen body lightening unit is also simultaneously connected with the visual unit and the laser repairing unit; the visual unit is used for manufacturing a pixel point template, further determining a screen bright spot repairing track, and identifying and positioning a pixel point image; the laser repair unit repairs and detects the bright spot; the screen body lighting unit is used for controlling screen pixel points to realize lighting of the screen.
The repairing device of the invention makes pixel point templates through the visual unit, further determines the repairing track of the screen highlight, identifies and positions the pixel point images, respectively makes the pixel point templates according to the pixel points with different color types during application, determines the repairing track, and positions the identification of the pixel point images, and has good screen repairing accuracy and high repairing efficiency. The OLED screen repaired by the device provided by the invention has the advantages that the problems of light leakage, weak glow and the like can not occur, the bright spot repairing and detecting efficiency of the OLED screen is improved, and the reliability is high.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
when the screen bright spot is repaired, pixel point templates are respectively arranged according to the color attributes of the pixel points, such as blue, green or red, and the outline of the pixel points, the types of the repair tracks, such as multi-section line outline or solid scanning track, are determined, and the pixel point templates comprising the repair tracks are generated; and respectively identifying and positioning the pixel point images with different colors. The laser repair unit is respectively configured with different laser repair process parameters according to different colors of the pixel points, and repairs and detects the bright spot.
The invention confirms the repair track of the bright spot for the OLED screen, and configures a corresponding repair process to solve the screen body defect caused by the bright spot. The method can flexibly carry out customized repair on the pixel points with different colors, the repair tracks of the pixel points with different colors are determined and the repair process is configured in the repair process, the repair method is flexible and convenient, new products are introduced fast, the compatibility is good, the repair efficiency is high, and the reliability is high.
Drawings
FIG. 1 is a block diagram of an apparatus according to the present invention;
FIG. 2 is a drawing of a Blue pixel template cutting ROI and laser repairing trajectory outline according to the present invention;
FIG. 3 shows the Blue pixel template clipping ROI and laser repair solid trace.
Detailed Description
The invention is described in detail below with reference to the drawings and specific examples.
Example 1
The embodiment provides a bright spot repair control device for an OLED screen, and fig. 1 is a block diagram of the device. As shown in the figure, the control device comprises a visual unit, a screen body lighting unit, a laser repairing unit and a control unit, wherein the visual unit, the screen body lighting unit and the laser repairing unit are all connected with the control unit, and the screen body lighting unit is also connected with the visual unit and the laser repairing unit. The visual unit is used for manufacturing a pixel point template, further determining a screen highlight point repairing track, and identifying and positioning a pixel point image; the laser repair unit repairs and detects the bright spot through laser; the screen body lighting unit is used for controlling lighting of the screen.
In the embodiment, the pixel point template of the bright spot is manufactured through the visual unit, the repair track of the bright spot is determined, then the pixel point image is identified and positioned, different pixel point laser repair process parameters are set, and the laser repair unit is used for repairing and detecting, so that customized repair configuration of different pixel points is realized.
According to the OLED screen repaired by the device, the problems of light leakage, weak glow and the like can not occur, the bright spot repairing and detecting efficiency of the OLED screen is improved, and the reliability is high.
Example 2
This embodiment describes in detail a method for repairing an OLED screen bright spot repair control device described in embodiment 1 based on embodiment 1.
The OLED hard screen or the flexible screen comprises a plurality of pixel points, each pixel point comprises B, G, R three light-emitting units, wherein B represents blue, G represents green, R represents red, and the different arrangement effects of the three light-emitting units enable the screen to present different display effects. When the bright pixel points of the OLED screen are repaired, the pixel point template is firstly manufactured, the repairing track is confirmed, then the laser repairing process parameters are configured, and then the pixel point image is identified and positioned, so that the bright pixel sections are subjected to laser repairing.
The method specifically comprises the following steps:
step S1: manufacturing a pixel point template, setting a repairing track, and storing a pixel point template file;
the pixel point template manufacturing refers to selecting pixel points with different colors on an OLED screen body under a micro lens, using a rectangular frame as an ROI (Region of Interest), and cutting an image to extract a pixel point template. And (3) making pixel point templates of the screen pixel points of the area to be repaired, and respectively making B, G, R types of pixel points by using the templates when the pixel point templates are made. The pixel point template is finely divided into pixel units with different colors, the pixel units are directly repaired during repair, the repair accuracy is good, the repair is not in place easily, and the problems of light leakage and the like of the edge of the pixel point after repair are avoided.
And drawing the outline of the pixel point template image by using a plurality of segments on the extracted pixel point template image to form a closed line frame. And confirming whether solid scanning is carried out or not, when the solid scanning is selected, carrying out solid track filling through an algorithm such as an outline filling method and the like, and automatically generating a laser processing track, wherein the laser processing track of the solid scanning is expressed as a plurality of repairing lines in an outline wireframe of the pixel point image, and the repairing lines are preferably arranged in parallel. The distance between the solid track repair lines can be determined according to the line width of the laser, so that the laser can completely cover the range of the wire frame when moving along the repair lines.
And storing the outline line frame and the solid track repairing line of the pixel point image as a pixel point template, and determining the laser repairing track through the pixel point template.
The pixel point templates of Blue pixels are taken as an example for explanation, and the principle and the steps for manufacturing the pixel point templates of Green pixels and Red pixels are the same.
Fig. 2 and 3 are schematic diagrams illustrating a Blue pixel template cutting ROI, as shown in the figures, a solid quadrangle in the center of the diagram is a Blue pixel, the Blue pixel of the quadrangle in this embodiment is only an example, and in practical applications, the shapes of the pixels in different screens may be different. Fig. 2 shows an outline wireframe track repaired by the Blue pixel point template, and fig. 3 shows a solid track repair line repaired by the Blue pixel point template.
As shown in fig. 2 and 3, a rectangular frame is first used as the ROI to crop on the image, and a pixel template is extracted, where the rectangular frame of ROI is indicated by a two-dot chain line in the figure; the laser repairing track outer contour line frame is represented by a hexagon drawn by a dotted line in the figure, the laser repairing track outer contour line frame represented by the dotted line hexagon is only one of multiple implementation modes of pixel point outer contour repairing tracks, and in practical application, a user can self-define the laser repairing track outer contour line frame in any shape according to the appearance characteristics of the screen body pixel points.
The horizontal lines within the dashed hexagon in fig. 3 represent solid trace repair lines for laser repair. Generally, the width between the solid track repair laser lines is kept between 1 μm and 2 μm during repair; the distance between the laser repair lines can be adjusted according to different repair screens, and if the repaired screen is a mobile phone screen, the distance between the laser repair lines is smaller and is about 1 mu m; if the repaired screen is a notebook screen or a flat screen, the distance between the laser repairing lines can be adaptively increased.
Step S2: setting and storing laser repair process parameters;
the shapes and the arrangement of the pixel points with different color types in the OLED screen are different, and the same laser repair process parameters are not suitable for the pixel points with various color types when laser repair is carried out. And respectively configuring different laser repair process parameters aiming at the pixel points with different colors, namely respectively configuring the laser repair process parameters aiming at the B, G, R pixel points. The laser repair process parameters comprise laser spot size, duty ratio, laser power and the like.
When the laser repair process parameters are configured, a plurality of schemes can be formed, the laser repair process parameters of the schemes are utilized to carry out laser processing, the laser processing effect is observed, and the optimal scheme is obtained. The embodiment does not limit the selection and configuration mode of the laser repair process parameters, and the selection of the laser repair process parameters mainly controls the size of a light spot and the laser power during laser repair to obtain the optimal repair effect.
Step S3: identifying and positioning pixel point images;
and respectively identifying and positioning the pixel point images aiming at the pixel points with different color types, namely respectively identifying and positioning the pixel point images aiming at the B, G, R pixel points. The pixel point image identification and positioning uses a color identification method in an image algorithm and a contour-based template matching algorithm.
Among the image recognition algorithms, there are an image recognition algorithm based on contour recognition and an image recognition algorithm based on gray scale recognition. In image recognition, the contour can be simply understood as a curve connecting all continuous points (along the boundary) with the same color or intensity, generally, an image recognition algorithm based on contour recognition has higher recognition efficiency and stronger robustness, and the contour recognition is not influenced by the gray level change of the image, so that the recognition accuracy is high.
When the pixel point images are identified and positioned, the screen body lightening unit of the restoration control device is used for lightening the screen, the screen is switched to be under a black screen, and all screen pixel points display black. And searching and dividing the outline of the screen to find the outline of the bright spot and identifying the color information of the pixel points in the area of the outline of the bright spot, specifically, judging the B, G, R attribute of the pixel points through color blocks. After the pixel point type is confirmed, the pixel point type is matched with the pixel point template in the step S1, the screen bright spot pixel is positioned, and meanwhile, the laser processing track during repair is positioned.
The contour segmentation method used in pixel point image identification is to perform self-adaptive binarization on an image, search a contour by using a region growing algorithm, filter the area and the length-width ratio of the contour, remove the influence of noise points, obtain the contour of a highlight pixel point, and further confirm the color type of the pixel point.
When the pixel point templates are matched, training template images at different angles by using a template matching algorithm based on image profiles according to the edge strength of the images, extracting characteristic points of the template images by using a Canny operator, sorting the characteristic points according to the descending order of the edge strength, filtering out points with weak edge characteristics, classifying the points according to the edge gradient direction, filtering the points which are not concentrated in the edge gradient direction according to the neighborhood relation of the edge points, normalizing the points which meet the conditions, and storing the points as the templates; selecting a search image, calculating edge feature points of the image according to the template feature point calculation method, and calculating the similarity between the image in a search image sliding window and the template image according to the size of the template image; and traversing the image, and selecting a window area with high similarity as a matching area.
The similarity calculation formula is as follows:
SimScore+=grad[i][j][K], (1)
Figure BDA0002658819090000071
in the formula (1), grad is an edge feature point of an image in a normalized window, i is id of a stored template, j and k are feature point coordinates in the template, and SimScore is a matching score of the current template; in the formula (2), num is the number of feature points in the template, cur is the number of feature points currently calculated, greed is a greedy threshold,
Figure BDA0002658819090000072
is a similarity threshold.
In order to accelerate the template matching process, the similarity is normalized, a threshold value is set, greedy algorithm is facilitated, and the similarity is calculated in real time when the image search template is traversed. When the similarity is lower than the threshold value, the matched image is stopped being searched, the window slides to the next area to continue searching.
Since the present embodiment performs the repair on the customized pixel points of different color types, the screen highlight point needs to be accurately positioned during the repair. The rotation angle and the position of the screen highlight pixel point relative to the template pixel point image are positioned through a template matching algorithm based on the image outline, the corresponding repairing track is accurately covered on the pixel point, and the laser is guided to repair conveniently at the later stage according to the correspondingly set laser repairing process parameters.
Step S4: repairing and detecting the bright spot;
and (5) according to the pixel point image identification and positioning in the step S3, repairing and detecting the screen exposure pixel point by combining the laser repairing track selected in the step S1 and the laser repairing process parameter selected in the step S2.
The laser repairing tracks are divided into outer contour repairing and solid repairing according to different repairing requirements of the screen bright spots. If the screen bright spots only need to repair the outer contour, laser repair is carried out according to the bright spot outer contour line frame repair track only during laser repair, and if the screen bright spots also need to be repaired in a solid mode, laser repair is carried out according to the bright spot outer contour line frame repair track firstly during laser repair, and then line segments are repaired according to the bright spot solid track for laser repair. The distance between the solid track repairing line segments is determined according to the type of the screen and the repairing requirement, and the laser repairing process parameters are respectively configured according to pixel points of different color types.
In this embodiment, a method for controlling the repair of an OLED screen bright spot is described in detail by taking the fabrication of a pixel template of a Blue pixel as an example. Firstly, a pixel point template of each pixel point is manufactured, the pixel point template comprises a pixel point outline repairing frame line and a pixel point solid track repairing line segment, and the shape of the pixel point is also required to be considered when the pixel point template is manufactured, so that the repairing track of the pixel point of each color type is confirmed. And setting laser repair process parameters according to different color types of the pixel points. And then identifying and positioning the pixel point image of the screen bright spot, matching the identified pixel point image with the manufactured pixel point template, and accurately covering the repair track in the pixel point template on the screen bright spot.
The method carries out customized repair on the pixel points with different color types, flexibly sets corresponding repair tracks and laser repair process parameters according to different arrangement and shapes of the pixel points with different colors, avoids the problems of light leakage, weak glow and the like at the edge after the bright spot repair, improves the repair and detection efficiency of the OLED screen bright spot, and has flexible and convenient operation and high reliability.
The invention and its embodiments have been described above schematically, without limitation, and the invention can be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The representation in the drawings is only one of the embodiments of the invention, the actual construction is not limited thereto, and any reference signs in the claims shall not limit the claims concerned. Therefore, without departing from the spirit of the present invention, a person of ordinary skill in the art should also understand that the present invention shall not be limited to the embodiments and the similar structural modes of the present invention. Furthermore, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" preceding an element does not exclude the inclusion of a plurality of such elements. Several of the elements recited in the product claims may also be implemented by one element in software or hardware. The terms first, second, etc. are used to denote names, but not to denote any particular order.

Claims (9)

1. A method for repairing an OLED screen bright spot is characterized in that a control unit controls a visual unit to respectively manufacture pixel point templates corresponding to different color types through color classification of pixel points, and a screen bright spot repairing track is determined; when the screen bright spot is positioned, pixel point images of different color types are respectively identified and positioned; the laser repairing unit respectively configures different laser repairing process parameters for pixel points with different color types, so as to realize repairing and detecting of the bright spot of the screen; when the visual unit is used for manufacturing the pixel point template, the area to be repaired of the screen is cut, the pixel point template image is extracted, the outline of the pixel point template image is drawn on the extracted pixel point template image in a multi-line mode, and the outline frame repairing track of the pixel point template image is stored as the pixel point template.
2. The OLED screen bright spot repairing method of claim 1, wherein the visual unit further comprises a solid track repairing line segment when the pixel point template is manufactured, after the outline wireframe repairing track of the pixel point template image is generated, whether solid scanning is performed or not is determined, if solid scanning is selected, solid track filling is performed to generate a solid track repairing line, and the solid track repairing line is stored as the pixel point template.
3. The method for repairing the OLED screen highlight as claimed in claim 1 or 2, wherein the control unit controls the screen body lighting unit to light the screen, the pixels of the screen display black, the vision unit performs contour search and segmentation on the screen to find the highlight contour, identifies the color information in the highlight contour region, matches the color information with the pixel templates of the corresponding color types, and locates the highlight pixels of the screen and the laser processing tracks of the highlight pixels.
4. The OLED screen bright spot repairing method as claimed in claim 3, wherein the adaptive binarization is performed on the image during the screen contour segmentation, the contour is searched by using a region growing algorithm, the area and the length-width ratio of the contour are filtered, the influence of noise is removed, and the contour of a highlight pixel point is obtained.
5. The OLED screen bright spot repairing method according to claim 3, wherein the visual unit identifies the pixel point image by a color identification method in an image algorithm, and the visual unit matches the pixel point image by a contour-based image identification algorithm.
6. The repairing method of the OLED screen bright spot is characterized in that the contour-based image recognition algorithm comprises the steps of training template images at different angles according to image edge intensity, extracting feature points of the template images by using a Canny operator, sorting the feature points from large to small according to the edge intensity, filtering out points with weak edge features, classifying the points according to the edge gradient direction, filtering out points with non-concentrated edge gradient direction according to the neighborhood relation of the edge points, normalizing the points meeting the conditions, and storing the points as a template; selecting a search image, calculating edge feature points of the image according to the template feature point calculation method, and calculating the similarity between the image in a search image sliding window and the template image according to the size of the template image; and traversing the image, and selecting a window area with high similarity as a matching area.
7. The OLED screen bright spot repairing method according to claim 6, wherein the similarity calculation is followed by normalization processing, a threshold is set, the similarity is calculated in real time while traversing the image search template, when the similarity calculation value is lower than the threshold, the search for the matching image is stopped, and the window slides to the next area for continuous search;
the similarity calculation formula is as follows:
SimScore+=grad[i][j][k], (1)
SimScore+(num-cur)*greed<score thresh *greed (2)
in the formula (1), grad is an edge feature point of an image in a normalized window, i is id of a stored template, j and k are feature point coordinates in the template, and SimScore is a matching score of the current template; in the formula (2), num is the number of feature points in the template, cur is the number of feature points currently calculated, greed is a greedy threshold, score thresh Is a similarity threshold.
8. The OLED screen bright spot repairing method according to claim 1, wherein the laser repairing process parameters comprise a laser spot size, a duty cycle and a laser power.
9. An OLED screen bright spot repairing device, which is characterized in that the OLED screen bright spot repairing method according to any one of claims 1 to 8 is used, and comprises a visual unit, a screen body lighting unit, a laser repairing unit and a control unit, wherein the visual unit, the screen body lighting unit and the laser repairing unit are all connected with the control unit, and the screen body lighting unit is also connected with the visual unit and the laser repairing unit simultaneously; the visual unit is used for manufacturing a pixel point template, further determining a screen highlight point repairing track, and identifying and positioning a pixel point image; the laser repair unit repairs and detects the bright spot; the screen body lighting unit is used for controlling screen pixel points to realize lighting of the screen.
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