CN111124344A - Screen particle brightness extraction method and device - Google Patents
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Abstract
The invention discloses a screen particle brightness extraction method and device, which solve the problem that the brightness of each particle cannot be completely and independently extracted by the current equipment for digitizing the brightness of panel particles. The method comprises the following steps: shooting a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera larger than a set multiple; processing the three-primary-color particle picture, and positioning the position of each particle in the shot three-primary-color particle picture; based on each particle position in the positioned three primary color particle picture, the brightness of each positioned particle is calculated in parallel. The invention realizes the point-by-point extraction of the brightness of the particles, and more accurately and efficiently extracts the brightness of the particles of the display screen.
Description
Technical Field
The invention relates to the field of plane display, in particular to a screen particle brightness extraction method and device.
Background
The flat display panel has the characteristics of high resolution, high brightness, difficult deformation and the like, and the requirements on image quality and image quality of the flat display panel are higher and higher by combining with the higher resolution required by the screen of the television and mobile phone at present, the manufacturing process of the display panel module is more and more complex, and the situation that the brightness of particles of the display module is inconsistent is inevitable through hundreds of processes and millions of particles. Such inconsistencies can seriously degrade the display quality of the display module. Such defects are collectively referred to in the industry as mura defects. Before the display panel is out of the field, mura defects generally need to be repaired, namely brightness correction is carried out on display particles.
The brightness of the display panel particles is quantified by calibrated equipment, and the display panel is generally imaged by a camera to achieve particle brightness digitization. After conversion, the brightness of the particles appears as the gray value of the pixel in the image, and the brighter the particles, the higher the corresponding gray value. The principle of brightness correction is that the gray level of particles exceeding the target brightness range is reduced and the gray level of particles lower than the target brightness range is compensated by measuring and calculating the gray level of pixels corresponding to the particles, so that the mura defect is repaired.
As the resolution of the display panel is higher, the brightness of each particle cannot be completely and independently extracted by the current device for digitizing the brightness of the panel particles, and generally, a mode that one region is represented by one brightness is adopted, that is, the brightness of each particle is output, and the brightness of each particle is interpolated and cannot be calculated as the true brightness of the particle. There are also methods of measuring the color tristimulus values of the screen, measuring the chromaticity and brightness, using professional colorimetric instruments, and basically measuring by area in this manner. In this way, when the screen has sharp edges, the screen cannot be repaired normally. The above problems also exist where the entire screen is divided using a unified partition block.
Disclosure of Invention
The invention provides a method and a device for extracting screen particle brightness, which solve the problem that the brightness of each particle cannot be completely and independently extracted by the current equipment for digitizing the panel particle brightness.
In order to solve the above technical problem, the present invention provides a method and an apparatus for extracting brightness of screen particles, which specifically include:
according to a first aspect of the present invention, there is provided a method of screen particle brightness extraction, the method comprising:
shooting a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera larger than a set multiple;
processing the three-primary-color particle picture, and positioning the position of each particle in the shot three-primary-color particle picture;
based on each particle position in the positioned three primary color particle picture, the brightness of each positioned particle is calculated in parallel.
In accordance with a second aspect of the present invention, there is provided a screen particle brightness extraction apparatus, the apparatus comprising a memory and a processor, the processor being configured to:
shooting a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera larger than a set multiple;
processing the three-primary-color particle picture, and positioning the position of each particle in the shot three-primary-color particle picture;
based on each particle position in the positioned three primary color particle picture, the brightness of each positioned particle is calculated in parallel.
According to a third aspect of the invention, there is provided a computer storage medium storing a computer program which, when executed, implements the method described above.
The method and the device for extracting the brightness of the screen particles, provided by the embodiment of the invention, have the following specific beneficial effects:
the invention provides a method and a device for extracting the brightness of screen particles more efficiently and accurately, wherein the placement of a screen allows the generation of angle deflection, the manual operation time in the display panel generation process is reduced, and the working efficiency is improved; the particle brightness is more accurately digitized by using a high-resolution camera; by utilizing the screen particle mask information, the screen brightness calculation time is reduced, and the stability of screen brightness extraction is improved.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a method for extracting brightness of screen particles according to an embodiment of the present invention;
fig. 2 is a diagram of a device for extracting brightness of screen particles according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
The embodiment provides a method for extracting brightness of screen particles, which is applied to an OLED screen, and as shown in fig. 1, the method includes:
step 101, shooting a three-primary-color particle picture of a screen by a camera with the pixel number MR of the size of a screen pixel particle relative to the size of a camera pixel particle larger than a set multiple;
the MR is the number of photosensitive element cmos particles corresponding to each pixel of the screen, i.e., the number of pixels.
The camera resolution ratio that uses at present is lower, can't realize the accurate granule luminance digitization of high accuracy, and the camera that uses the high resolution in this embodiment shoots the screen and can realize the granule separation, and the pixel adhesion does not appear, can independently distinguish the granule of every colour channel in the follow image.
And selecting a proper camera according to the size and the resolution of the screen particles, wherein the number of pixels MR of the size of the screen pixel particles relative to the size of the camera pixel particles is larger than 5 according to the size of the screen particles.
In a specific implementation, a 90M high resolution camera is used, and the number of pixels MR can be 5 or more.
The high-resolution camera is a camera which aims at the size of the screen pixel, namely, the corresponding camera which meets the requirement is selected according to the parameter of the screen resolution. The selected resolution camera is not limited herein, and those skilled in the art can select the camera according to actual requirements.
In specific implementation, after the camera is determined, a 90mm lens is adopted to shoot a screen, and particle separation can be realized by the effect of shooting the particles of the picture. The requirement for the camera to capture the particles is that pixel sticking cannot occur and the particles of each color channel can be distinguished independently from the image so that the range of each particle can be extracted.
The color channels are display pictures with different brightness of red, green and blue channels displayed by a screen and comprise three independent display channel particles of three primary colors of the screen.
In one implementation, each channel is lit up individually and then a picture of the channel is taken at different gray levels. For example, the red channel is first lighted up, different brightnesses of the red channel are set, and each brightness is shot respectively. And after the red channel is shot, the green channel is shot again, and the operation mode is the same as that of the red channel and the blue channel. The screen is digitalized by independently shooting the three primary color particle pictures of the screen.
The screen digitization is that the brightness of screen particles is quantified through a calibrated device, and a camera is generally adopted to image the screen, so that the particle brightness digitization is achieved. After conversion, the brightness of the particles is expressed as the gray value of the pixel in the image, i.e. the gray value is the value representing the brightness of the pixel in the image, and the brighter the particle, the higher the corresponding gray value.
102, processing the three-primary-color particle picture, and positioning each particle position in the shot three-primary-color particle picture;
superposing the horizontal direction and the vertical direction of the screen area with an image standard coordinate system to generate a reference screen image;
wherein the particle mask information is created for the three primary color particles of the screen region, respectively, based on the reference screen image.
Image masks are masks that block an image to be processed (either wholly or partially) with a selected image, graphic, or object to control the area or process of image processing. The particular image or object used for overlay is referred to as a mask or template. In the optical image processing, the mask may be a film, a filter, or the like. In digital image processing, a mask is a two-dimensional matrix array, and a multi-valued image may be used. In digital image processing, image masks are mainly used for: extracting an interested region, and multiplying a pre-made interested region mask and an image to be processed to obtain an interested region image, wherein the image value in the interested region is kept unchanged, and the image value outside the region is 0; shielding, namely shielding certain areas on the image by using a mask so that the certain areas do not participate in processing or calculation of processing parameters, or only processing or counting shielded areas; extracting structural features, namely detecting and extracting the structural features similar to the mask in the image by using a similarity variable or an image matching method; and (5) making a special-shaped image.
In specific implementation, the screen area in the three-primary-color particle picture is determined through image processing; after the screen is converted into an image, in order to accurately locate the position of each particle, the position and angle of the screen area needs to be located.
In specific implementation, the screen area is positioned in an image processing mode, and the position and the angle of the screen area in the image are obtained. Furthermore, after finding the screen area, the screen area needs to be corrected into a new coordinate system. The new coordinate system refers to an image standard coordinate system, and the horizontal direction and the vertical direction of the screen area are overlapped with the image standard coordinate system. The mode can adapt to the phenomenon that the screen rotates, and the constraint on the screen fixing mode is reduced.
In implementation, particle information masks are respectively created for the three primary color particles of the screen according to the shot three primary color particle pictures; the particle information mask information includes the following information:
coordinates of the particles, size of the particles, spacing of the particles, missing positions, and redundant positions.
The size of the particles is the size of the three-primary-color particles calculated by the pixel area of the three-primary-color particle picture;
the distance between the particles is the horizontal distance and the vertical distance between the three-primary-color particles calculated by the pixel area of the three-primary-color particle picture;
the missing position is a position where shot screen particles cannot be digitalized;
the redundant positions are positions of pseudo particles caused by screen defects.
In an implementation, after the screen is rotated into the image standard coordinate system, an information mask is further established for the particles of the screen. After images of three independent channels of red, green and blue of a screen are acquired, an information mask needs to be established for three primary color particles of the screen based on the converted image after screen region extraction as a reference screen image. The information mask contains the coordinates of each channel particle, the size of the particle, the spacing of the particles, the missing position and the redundant position. Further, the coordinates of the particles include a correspondence between the positions of the particles in the screen area and the positions in the reference screen image; the size of the particles comprises the size of the three-primary-color particles, and is calculated by the pixel area of the three-primary-color particle picture; the pitch of the particles is the horizontal and vertical distance between the three primary color particles, calculated in units of pixels of the three primary color particle picture. The missing positions comprise positions where shot sample screen particles cannot be digitized; the redundant positions include positions of dummy particles caused by screen defects, and further, the dummy particles refer to redundant bright spots caused by defects of the screen surface, such as dust and magazines.
Positioning the particle positions in the three-primary-color particle picture by using the particle information mask, wherein the positioning comprises the following steps:
after rotating a reference screen image for creating particle mask information by a corresponding angle, mapping the particle mask information to a coordinate system of a three-primary-color particle picture to generate a mapping file;
and calculating the position of each particle in the three-primary-color particle picture according to the mapping file.
In a specific implementation, after the information mask of the finished screen is established, the information mask is used for positioning the position of the screen in the image, and the initial position information of the mask is utilized to position the initial position of the screen and the rotation angle of the screen relative to the reference screen image from the three-primary-color particle picture through the position of the mask and providing a certain search range. The initial position information of the mask refers to position information of the particles based on the reference screen image. This determines the information of the screen in the image. The search range is an offset amount allowed when the screen is found by using the mask, and the screen needs to be found within the offset amount range. In short, the mask information of the screen image is used as a template, and the screen in the detection image is found through the template.
Furthermore, the established screen mask information and the acquired screen information in the image are used for mapping the mask information to an image standard coordinate system, and the particle mask covering is completed according to the established information of the mask.
And 103, calculating the brightness of each particle in the three primary colors based on the position of each particle in the three primary colors particle picture.
And extracting the brightness of each positioned particle according to the particle information mask, and binding the brightness to the coordinates of the three-primary-color particle picture corresponding to the particle information mask.
In specific implementation, the mask information includes information such as coordinates of each particle, particle size and particle distance, a calculation window of each particle is generated, each particle corresponds to one calculation window, the brightness of each particle can be accurately extracted by combining the mask information such as the brightness of the neighborhood of the particle, and the brightness is bound to the coordinates of the mask information.
The brightness of each particle is positioned by adopting a parallel computing method, so that the computing speed and the processing capacity are improved.
By the method, the brightness information of each particle can be extracted efficiently in parallel.
Example two
Based on the same inventive concept, the embodiment of the invention also provides a device for extracting the brightness of the screen particles, and the principle of the device for solving the problems is similar to that of the method, so the embodiment of the device can refer to the implementation of the method, and repeated parts are not repeated.
The embodiment further provides a device for extracting brightness of screen particles, which includes a processor and a memory, where the processor is configured to:
shooting a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera larger than a set multiple;
processing the three-primary-color particle picture, and positioning the position of each particle in the shot three-primary-color particle picture;
based on each particle position in the positioned three primary color particle picture, the brightness of each positioned particle is calculated in parallel.
The processor is specifically configured to:
respectively creating particle information masks for the three primary color particles of the screen according to the shot three primary color particle picture;
and positioning the positions of the particles in the three-primary-color particle picture by using the particle information mask.
The processor is specifically configured to:
determining a screen area in the three-primary-color particle picture through image processing;
superposing the horizontal direction and the vertical direction of the screen area with an image standard coordinate system to generate a reference screen image;
wherein the particle mask information is created for the three primary color particles of the screen region, respectively, based on the reference screen image.
The processor is further configured to:
determining the initial position and the rotation angle of a screen area in the three-primary-color particle picture;
positioning the particle positions in the three-primary-color particle picture by using the particle information mask, wherein the positioning comprises the following steps:
after rotating a reference screen image for creating particle mask information by a corresponding angle, mapping the particle mask information to a coordinate system of a three-primary-color particle picture to generate a mapping file;
and calculating the position of each particle in the three-primary-color particle picture according to the mapping file.
The processor is configured to:
and extracting the brightness of each positioned particle according to the particle information mask, and binding the brightness to the coordinates of the three-primary-color particle picture corresponding to the particle information mask.
EXAMPLE III
An embodiment of the present invention further provides a device for extracting brightness of screen particles, as shown in fig. 2, including:
the picture acquisition unit 201 is used for taking a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera being more than a set multiple;
a particle position locating unit 202, configured to process the three-primary color particle picture, and locate each particle position in the captured three-primary color particle picture;
a particle brightness calculation unit 203 for calculating the brightness of each particle located in parallel based on the position of each particle in the three primary color particle picture located.
The particle position locating unit 202 is configured to process the three-primary color particle picture, and locate a particle position in the captured three-primary color particle picture, including:
respectively creating particle information masks for the three primary color particles of the screen according to the shot three primary color particle picture;
and positioning the positions of the particles in the three-primary-color particle picture by using the particle information mask.
The particle position location unit 202 is specifically configured to create particle mask information for the three primary color particles of the screen according to the captured three primary color particle picture, where the particle mask information includes:
determining a screen area in the three-primary-color particle picture through image processing;
superposing the horizontal direction and the vertical direction of the screen area with an image standard coordinate system to generate a reference screen image;
wherein the particle mask information is created for the three primary color particles of the screen region, respectively, based on the reference screen image.
The particle position location unit 202 is further configured to:
determining the initial position and the rotation angle of a screen area in the three-primary-color particle picture;
positioning the particle positions in the three-primary-color particle picture by using the particle information mask, wherein the positioning comprises the following steps:
after rotating a reference screen image for creating particle mask information by a corresponding angle, mapping the particle mask information to a coordinate system of a three-primary-color particle picture to generate a mapping file;
and calculating the position of each particle in the three-primary-color particle picture according to the mapping file.
The particle brightness calculation unit 203 is specifically configured to extract the brightness of each located particle according to the particle information mask, and bind the brightness to the coordinates of the three primary color particle picture corresponding to the particle information mask.
Example four
The present embodiment is a computer storage medium, which stores a computer program that implements the contents of any one of the first to third embodiments when executed.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (15)
1. A method for extracting brightness of screen particles, the method comprising:
shooting a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera larger than a set multiple;
processing the three-primary-color particle picture, and positioning the position of each particle in the shot three-primary-color particle picture;
based on each particle position in the positioned three primary color particle picture, the brightness of each positioned particle is calculated in parallel.
2. The method of claim 1, wherein processing the three primary color particle picture to locate the particle position in the captured three primary color particle picture comprises:
respectively creating particle information masks for the three primary color particles of the screen according to the shot three primary color particle picture;
and positioning the positions of the particles in the three-primary-color particle picture by using the particle information mask.
3. The method of claim 2, wherein the grain information mask information includes information of:
coordinates of the particles, size of the particles, spacing of the particles, missing positions, and redundant positions.
4. The method of claim 3,
the size of the particles is the size of the three-primary-color particles calculated by the pixel area of the three-primary-color particle picture;
the distance between the particles is the horizontal distance and the vertical distance between the three-primary-color particles calculated by the pixel area of the three-primary-color particle picture;
the missing position is the position where the shot three-primary-color particle picture particles cannot be digitalized;
the redundant positions are positions of pseudo particles caused by screen defects.
5. The method according to any one of claims 2 to 4, wherein the creating of the particle mask information for the three primary color particles of the screen, respectively, based on the captured three primary color particle picture comprises:
determining a screen area in the three-primary-color particle picture through image processing;
superposing the horizontal direction and the vertical direction of the screen area with an image standard coordinate system to generate a reference screen image;
wherein the particle mask information is created for the three primary color particles of the screen region, respectively, based on the reference screen image.
6. The method as claimed in claim 5, wherein the determining the screen area in the three primary color particle picture by image processing further comprises:
determining the initial position and the rotation angle of a screen area in the three-primary-color particle picture;
positioning the particle positions in the three-primary-color particle picture by using the particle information mask, wherein the positioning comprises the following steps:
after rotating a reference screen image for creating particle mask information by a corresponding angle, mapping the particle mask information to a coordinate system of a three-primary-color particle picture to generate a mapping file;
and calculating the position of each particle in the three-primary-color particle picture according to the mapping file.
7. The method of claim 1, wherein the parallel computing of the brightness of each particle located comprises:
and extracting the brightness of each positioned particle according to the particle information mask, and binding the brightness to the coordinates of the three-primary-color particle picture corresponding to the particle information mask.
8. The method of claim 1, wherein the MR is a number of photo-sensing element cmos particles corresponding to each pixel of the screen, and the MR of the grain size of a pixel of the three primary color grain picture relative to the grain size of a pixel of the camera is greater than 5.
9. The method of claim 1, wherein the screen is an Organic Light Emitting Diode (OLED) screen.
10. A screen particle brightness extraction device, comprising a processor and a memory, the processor configured to:
shooting a three-primary-color particle picture of a screen by using a camera with the pixel number MR of the size of the pixel particles of the screen relative to the size of the pixel particles of the camera larger than a set multiple;
processing the three-primary-color particle picture, and positioning the position of each particle in the shot three-primary-color particle picture;
based on each particle position in the positioned three primary color particle picture, the brightness of each positioned particle is calculated in parallel.
11. The apparatus of claim 10, wherein the processor is specifically configured to:
respectively creating particle information masks for the three primary color particles of the screen according to the shot three primary color particle picture;
and positioning the positions of the particles in the three-primary-color particle picture by using the particle information mask.
12. The apparatus of claim 11, wherein the processor is specifically configured to:
determining a screen area in the three-primary-color particle picture through image processing;
superposing the horizontal direction and the vertical direction of the screen area with an image standard coordinate system to generate a reference screen image;
wherein the particle mask information is created for the three primary color particles of the screen region, respectively, based on the reference screen image.
13. The apparatus of claim 12, wherein the processor is further configured to:
determining the initial position and the rotation angle of a screen area in the three-primary-color particle picture;
positioning the particle positions in the three-primary-color particle picture by using the particle information mask, wherein the positioning comprises the following steps:
after rotating a reference screen image for creating particle mask information by a corresponding angle, mapping the particle mask information to a coordinate system of a three-primary-color particle picture to generate a mapping file;
and calculating the position of each particle in the three-primary-color particle picture according to the mapping file.
14. The apparatus of claim 10, wherein the processor is to:
and extracting the brightness of each positioned particle according to the particle information mask, and binding the brightness to the coordinates of the three-primary-color particle picture corresponding to the particle information mask.
15. A computer storage medium, characterized in that the computer storage medium stores a computer program which, when executed, implements the method of any one of claims 1-9.
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