CN114137750B - Method and device for detecting and positioning screen ghost - Google Patents
Method and device for detecting and positioning screen ghost Download PDFInfo
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- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
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Abstract
The invention relates to a method and a device for detecting and positioning screen ghost images, wherein the method comprises the following steps: preheating a screen to be tested; collecting checkerboard images and gray images which are sequentially output by a screen to be tested in a first preset time; extracting multi-frame checkerboard images within a second preset time, extracting corner coordinates in each frame of images, and determining the position of each black-white block according to the corner coordinates; and judging whether the screen to be tested has the ghost or not according to the average gray value and the duration of each black-and-white block in each frame image. The invention utilizes the positions of the black and white blocks of the angular point positioning checkerboard, and breaks through the difficult problem of inaccurate positioning of the residual shadow caused by the relative position change of the screen and the residual shadow detection camera in the prior art.
Description
Technical Field
The invention belongs to the technical field of screen detection, and particularly relates to a method and a device for detecting and positioning a screen ghost.
Background
The liquid crystal display screen has the advantages of small size, portability, small radiation, low power consumption and high reliability, and is widely used in portable electronic products such as smart phones, flat panels, notebook computers and the like. In recent years, new demands are made on the quality of liquid crystal displays, such as higher definition, faster response sensitivity, better visual comfort, etc. The problem of ghost shadow is a major problem affecting the quality of thin film transistor displays (LCD, OLED).
In the prior art, when a display screen stays on a picture for a long time or is not preheated, charged particles in liquid crystal in the display screen can be adsorbed at two ends of upper and lower glass to form a built-in electric field, and after the picture is switched, the charged particles are not released immediately, so that liquid crystal molecules do not immediately turn to corresponding angles to generate a ghost phenomenon; in addition, judging whether the ghost depends on subjective judgment of a tester, and cannot give specific numbers and speak in practice; moreover, the division of screen blocks has limitations, and the position of the residual shadow cannot be accurately positioned; finally, the relative position of the screen and the detection residual image camera changes, so that the residual image is positioned inaccurately and even cannot be detected.
Disclosure of Invention
In order to solve the problems of low accuracy and inaccurate positioning in the existing screen ghost detection, the first aspect of the invention provides a method for detecting and positioning screen ghost, which comprises the following steps: preheating a screen to be tested; collecting checkerboard images and gray images which are sequentially output by a screen to be tested in a first preset time; extracting multi-frame checkerboard images within a second preset time, extracting corner coordinates in each frame of images, and determining the position of each black-white block according to the corner coordinates; and judging whether the screen to be tested has the ghost or not according to the average gray value and the duration of each black-and-white block in each frame image.
In some embodiments of the present invention, the capturing the checkerboard image and the gray image sequentially output by the screen to be tested in the first preset time includes: keeping the output image of the screen to be tested as a checkerboard image t 1 seconds; the output image of the screen to be measured is kept as a gray image t 2 seconds, and t 1＜t2.
In some embodiments of the present invention, the extracting the multi-frame checkerboard image within the second preset time, extracting the coordinates of the corner in each frame of image, and determining the position of each black-white block according to the coordinates of the corner in each frame of image includes: searching the position coordinates of all the corner points by utilizing findChessboardCornersSB algorithm of openCV; recording the number of angular points and comparing the angular points with an actual chessboard, and judging whether the extracted image is a checkered image or not: if yes, determining the position of each black-and-white block according to the position coordinates of all the corner points; otherwise, extracting the next frame of image until the checkerboard image is extracted.
In some embodiments of the present invention, the determining whether the image to be detected has the ghost according to the average gray value and the duration of each black-and-white block in each frame image includes: starting from the extraction of the first frame checkerboard image, calculating the average gray value of each black-and-white block in each frame image; comparing average gray values of black and white blocks of two adjacent frames of images, and calculating a difference Vd; if Vd is greater than the threshold value Vs, judging that the residual shadow exists on the screen to be tested.
Further, the threshold value Vs is 3-10ms.
In the above embodiment, preheating the screen to be tested includes: and randomly switching the output image of the screen to be tested within a preset time.
In a second aspect of the present invention, there is provided a screen ghost detection and positioning apparatus, including: the prediction module is used for preheating the screen to be tested; the acquisition module is used for acquiring checkerboard images and gray images which are sequentially output by the screen to be detected within a first preset time; the extraction module is used for extracting multi-frame checkerboard images in a second preset time, extracting angular point coordinates in each frame of images and determining the position of each black-white block according to the angular point coordinates; and the judging module is used for judging whether the screen to be tested has the ghost or not according to the average gray value and the duration time of each black-and-white block in each frame image.
Further, the extraction module comprises a searching unit and a judging unit, wherein the searching unit is used for searching the position coordinates of all the corner points by utilizing a findChessboardCornersSB algorithm of openCV; the judging unit is used for recording the number of the angular points and comparing the number with the actual chessboard to judge whether the extracted image is a checkered image or not: if yes, determining the position of each black-and-white block according to the position coordinates of all the corner points; otherwise, extracting the next frame of image until the checkerboard image is extracted.
In a third aspect of the present invention, there is provided an electronic apparatus comprising: one or more processors; and storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method provided by the invention in the first aspect.
In a fourth aspect of the invention, there is provided a computer readable medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of the invention provided in the first aspect.
The beneficial effects of the invention are as follows:
1. The invention preheats before collecting the image, avoids long-time standby state, and influences the flow of charged particles in liquid crystal in the screen, thereby improving the detection precision;
2. The average value of black and white blocks of each frame of image is calculated from the check image, so that the time is shortened, and the efficiency of the method is improved;
3. The angular points are detected in the checkerboard image by adopting findChessboardCornersSB algorithm, and under the condition of inclination of the checkerboard image, all angular point positions can be orderly found, so that the limitation of the traditional screen block division is broken through;
4. the high-frame-rate camera is adopted to collect images, so that the time for switching the screen from the checkerboard picture to the L48 picture can be displayed in real time, the duration of the residual image is precisely output in millisecond, and subjective misjudgment of a tester is avoided.
Drawings
FIG. 1 is a basic flow diagram of a method for detecting and positioning a screen residual image according to some embodiments of the present invention;
FIG. 2 is a flowchart of a method for detecting and positioning a screen image according to some embodiments of the present invention;
FIG. 3 is a schematic diagram of a random image, checkerboard image, and grayscale image in some embodiments of the present invention;
FIG. 4 is a flowchart illustrating a method for detecting and positioning a screen image according to some embodiments of the present invention;
FIG. 5 is a schematic diagram illustrating a structure of a positioning device for detecting a residual image of a screen according to some embodiments of the present invention;
Fig. 6 is a schematic structural diagram of an electronic device in some embodiments of the invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the examples are illustrated for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Referring to fig. 1 or fig. 2, in a first aspect of the present invention, there is provided a method for detecting and positioning a screen ghost, including: s100, preheating a screen to be tested; s200, collecting checkerboard images and gray images which are sequentially output by a screen to be tested in a first preset time; s300, extracting multi-frame checkerboard images in a second preset time, extracting angular point coordinates in each frame of images, and determining the position of each black-white block according to the angular point coordinates; s400, judging whether the screen to be tested has residual shadows according to the average gray value and the duration time of each black-and-white block in each frame image.
When the output image of the screen is switched to the checkerboard image, the size of the display screen can be self-adapted to the size of the checkerboard specification 32 x 32, and the position of the ghost can be accurately positioned. Therefore, in step S200 of some embodiments of the present invention, the capturing the checkerboard image and the gray-scale image sequentially output by the screen to be tested in the first preset time includes: s201, keeping an output image of a screen to be detected as a checkerboard image t 1 seconds; s202, keeping an output image of a screen to be detected as a gray image t 2 seconds, and t 1＜t2. Specifically, switching the display screen to a 13 x 19 checkerboard screen for 50 seconds of video stream acquisition; the display screen is then switched to the gray scale (grayscale) picture of L48 for 10 seconds of video streaming acquisition. Schematically, fig. 3 shows a random image, a checkerboard image, and a gray image (L48) mentioned in the present invention, respectively corresponding to an image of a left side portion, an image of a middle portion, and an image of a right side portion thereof.
The angular points are detected by findChessboardCornersSB algorithm in the checkerboard image, and all angular point positions can be orderly found under the condition of the inclination of the checkerboard image, so that the limitation of the traditional screen block division is broken through. Thus, in step S300 of some embodiments of the present invention, the extracting the multi-frame checkerboard image within the second preset time, extracting the coordinates of the corner points in each frame of image, and determining the position of each black-and-white block according to the coordinates includes: s301, finding the position coordinates of all the corner points by utilizing findChessboardCornersSB algorithm of openCV; s302, recording the number of corner points, comparing the number of corner points with an actual chessboard, and judging whether the extracted image is a checkered image or not: if yes, determining the position of each black-and-white block according to the position coordinates of all the corner points; otherwise, extracting the next frame of image until the checkerboard image is extracted.
Specifically, analyzing the whole video stream, collecting a frame of image at about 15s, judging whether the image is a checkerboard picture, if not, collecting the next frame of image, and if so, carrying out the next step; and if the frame is a checkered picture, extracting the acquired checkered corner points, and locating the position and Index of each black and white block. Optionally, the extracted image is pre-processed for better image quality, including image graying, denoising, and morphological processing.
Referring to fig. 4, in S400 of some embodiments of the present invention, the determining whether the image to be tested has the ghost according to the average gray value and the duration of each black-and-white block in each frame image includes: s401, starting from the extraction of the first frame checkerboard image, calculating the average gray value of each black-white block in each frame image; s402, comparing average gray values of black and white blocks of two adjacent frames of images, and calculating a difference Vd; if Vd is greater than the threshold value Vs, judging that the residual shadow exists on the screen to be tested.
Specifically, from the time of acquiring an image frame, calculating an average gray value V (s, t) of each black-and-white block of each frame; analyzing the average gray value of each frame of image of each black-and-white block, and recording the time Ti of the change from the stable gray value v1 of the checkerboard picture to the stable gray value v2 of the L48 gray picture; setting a standard afterimage time threshold value Ts, if Ti is less than Ts, the black and white block has no afterimage, otherwise, the position has afterimage.
Further, the threshold value Vs is 3-10ms. And switching the display screen to a random change picture and then to a checkerboard picture. Can avoid the phenomenon of residual shadow formed by long-time stay in the prior art. Therefore, in the above embodiment, the preheating the screen to be tested includes: and randomly switching the output image of the screen to be tested within a preset time. Specifically, the switching is performed back and forth in different pictures, so that the charged particles in the liquid crystal in the screen flow and remain stable. It can be understood that the invention adopts the high frame rate camera to collect images, can display the time of switching the screen from the checkerboard picture to the L48 picture in real time, accurately outputs the residual image duration to millisecond, and avoids subjective misjudgment of testers.
Example 2
Referring to fig. 5, in a second aspect of the present invention, there is provided a screen ghost detection and positioning apparatus 1, comprising: a prediction module 11, configured to preheat a screen to be tested; the acquisition module 12 is used for acquiring checkerboard images and gray images which are sequentially output by the screen to be detected in a first preset time; the extracting module 13 is configured to extract a plurality of frames of checkerboard images within a second preset time, extract coordinates of corner points in each frame of images, and determine a position of each black-white block according to the coordinates; the judging module 14 is configured to judge whether the image to be tested has a ghost or not according to the average gray value and the duration of each black-and-white block in each frame image.
Further, the extracting module 13 includes a searching unit and a judging unit, where the searching unit is configured to find the position coordinates of all the corner points by using findChessboardCornersSB algorithm of openCV; the judging unit is used for recording the number of the angular points and comparing the number with the actual chessboard to judge whether the extracted image is a checkered image or not: if yes, determining the position of each black-and-white block according to the position coordinates of all the corner points; otherwise, extracting the next frame of image until the checkerboard image is extracted.
Example 3
Referring to fig. 6, a third aspect of the present invention provides an electronic device, including: one or more processors; and storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of the present invention in the first aspect.
The electronic device 500 may include a processing means (e.g., a central processing unit, a graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with programs stored in a Read Only Memory (ROM) 502 or loaded from a storage 508 into a Random Access Memory (RAM) 503. In the RAM503, various programs and data required for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM503 are connected to each other via a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
The following devices may be connected to the I/O interface 505 in general: input devices 506 including, for example, a touch screen, touchpad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 507 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 508 including, for example, a hard disk; and communication means 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 6 shows an electronic device 500 having various means, it is to be understood that not all of the illustrated means are required to be implemented or provided. More or fewer devices may be implemented or provided instead. Each block shown in fig. 6 may represent one device or a plurality of devices as needed.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or from the storage means 508, or from the ROM 502. The above-described functions defined in the methods of the embodiments of the present disclosure are performed when the computer program is executed by the processing device 501. It should be noted that the computer readable medium described in the embodiments of the present disclosure may be a computer readable signal medium or a computer readable storage medium or any combination of the two. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In an embodiment of the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Whereas in embodiments of the present disclosure, the computer-readable signal medium may comprise a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, fiber optic cables, RF (radio frequency), and the like, or any suitable combination of the foregoing.
The computer readable medium may be contained in the electronic device; or may exist alone without being incorporated into the electronic device. The computer readable medium carries one or more computer programs which, when executed by the electronic device, cause the electronic device to:
computer program code for carrying out operations of embodiments of the present disclosure may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++, python and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A method for detecting and positioning screen afterimages, comprising the following steps:
Preheating the screen to be tested, namely randomly switching output images of the screen to be tested within preset time;
collecting checkerboard images and gray images which are sequentially output by a screen to be tested in a first preset time;
extracting multi-frame checkerboard images within a second preset time, extracting corner coordinates in each frame of images, and determining the position of each black-white block according to the corner coordinates;
judging whether the screen to be tested has the ghost or not according to the average gray value and the duration of each black-and-white block in each frame image, namely calculating the average gray value of each black-and-white block in each frame image from the extraction of the first frame checkerboard image, comparing the average gray values of the black-and-white blocks of two adjacent frames of images, and calculating a difference value Vd; calculating an average gray value V (s, t) of each black-and-white block of each frame from the time of acquiring an image frame; analyzing the average gray value of each frame of image of each black-and-white block, and recording the time Ti of the change from the stable gray value v1 of the checkerboard picture to the stable gray value v2 of the L48 gray picture; setting a standard afterimage time threshold value Ts, if Ti is less than Ts, the black and white block has no afterimage, otherwise, the position has afterimage.
2. The method for detecting and positioning a screen residual image according to claim 1, wherein the step of collecting checkerboard images and gray-scale images sequentially output by the screen to be detected in a first preset time includes:
keeping the output image of the screen to be tested as a checkerboard image t 1 seconds;
the output image of the screen to be measured is kept as a gray image t 2 seconds, and t 1＜t2.
3. The method of detecting and positioning a residual image on a screen according to claim 1, wherein extracting a plurality of frames of checkerboard images within a second preset time, extracting coordinates of corner points in each frame of images, and determining a position of each black-and-white block according to the coordinates comprises:
searching the position coordinates of all the corner points by utilizing findChessboardCornersSB algorithm of openCV;
Recording the number of angular points and comparing the angular points with an actual chessboard, and judging whether the extracted image is a checkered image or not: if yes, determining the position of each black-and-white block according to the position coordinates of all the corner points; otherwise, extracting the next frame of image until the checkerboard image is extracted.
4. The method of claim 1, wherein the threshold Vs is 3-10ms.
5. The utility model provides a screen ghost detects positioner which characterized in that includes:
The prediction module is used for preheating the screen to be tested, namely randomly switching the output image of the screen to be tested within preset time;
the acquisition module is used for acquiring checkerboard images and gray images which are sequentially output by the screen to be detected within a first preset time;
The extraction module is used for extracting multi-frame checkerboard images in a second preset time, extracting angular point coordinates in each frame of images and determining the position of each black-white block according to the angular point coordinates;
The judging module is used for judging whether the screen to be tested has the ghost or not according to the average gray value and the duration time of each black-and-white block in each frame image, namely, calculating the average gray value of each black-and-white block in each frame image from the extraction of the first frame checkerboard image, comparing the average gray values of the black-and-white blocks of two adjacent frames of images and calculating a difference value Vd; calculating an average gray value V (s, t) of each black-and-white block of each frame from the time of acquiring an image frame; analyzing the average gray value of each frame of image of each black-and-white block, and recording the time Ti of the change from the stable gray value v1 of the checkerboard picture to the stable gray value v2 of the L48 gray picture; setting a standard afterimage time threshold value Ts, if Ti is less than Ts, the black and white block has no afterimage, otherwise, the position has afterimage.
6. The apparatus according to claim 5, wherein the extracting module comprises a searching unit and a judging unit,
The searching unit is used for searching the position coordinates of all the corner points by utilizing findChessboardCornersSB algorithm of openCV;
the judging unit is used for recording the number of the angular points and comparing the number with the actual chessboard to judge whether the extracted image is a checkered image or not: if yes, determining the position of each black-and-white block according to the position coordinates of all the corner points; otherwise, extracting the next frame of image until the checkerboard image is extracted.
7. An electronic device, comprising: one or more processors; storage means for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of screen ghost detection and positioning as claimed in any one of claims 1 to 4.
8. A computer readable medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the method of screen ghost detection positioning as claimed in any one of claims 1 to 4.
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