CN113852800A - Display picture testing method, terminal and storage medium - Google Patents

Display picture testing method, terminal and storage medium Download PDF

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Publication number
CN113852800A
CN113852800A CN202010597950.2A CN202010597950A CN113852800A CN 113852800 A CN113852800 A CN 113852800A CN 202010597950 A CN202010597950 A CN 202010597950A CN 113852800 A CN113852800 A CN 113852800A
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display
picture
frame
preprocessed
noise ratio
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覃大勇
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Shenzhen TCL New Technology Co Ltd
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Shenzhen TCL New Technology Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/4425Monitoring of client processing errors or hardware failure

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Databases & Information Systems (AREA)
  • Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)

Abstract

The invention discloses a method, a terminal and a storage medium for testing a display picture, wherein the method for testing the display picture comprises the following steps: collecting a display picture of display equipment in real time; comparing the collected display picture with the pre-processed picture to obtain a comparison result; and obtaining a test result of the display picture according to the comparison result. According to the invention, the display picture of the display equipment is acquired, and the acquired display picture is compared with the preprocessed picture, so that the test result of the display picture is obtained according to the comparison result, the function of automatically testing the display performance of the display equipment is realized, and the test precision of automatically testing the display picture is improved.

Description

Display picture testing method, terminal and storage medium
Technical Field
The present invention relates to the field of terminal applications, and in particular, to a method for testing a display screen, a terminal, and a storage medium.
Background
At present, when digital performance tests are carried out on equipment such as a set top box, a television and the like, an abnormal picture of a video needs to be monitored in a manual checking mode; because, in the process of testing, the repeatability of the test is very high, and the test cycle is very long; therefore, a lot of time and labor are required.
Some of the devices adopt an automatic mode for testing, and a camera is used for collecting screen pictures and carrying out abnormal feature detection on the pictures displayed by the device; the automatic test mode has low identification precision on abnormal pictures, and the judgment result is seriously influenced under different light environments, so that the consistency of the detection result is poor.
Accordingly, the prior art is yet to be improved and developed.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a display picture testing method, a terminal and a storage medium, wherein the display picture of the display equipment is compared with the preprocessed picture to obtain the test result of the display picture, so that the function of automatically testing the display performance of the display equipment is realized, and the test precision of automatically testing the display picture is improved.
The technical scheme adopted by the invention for solving the technical problem is as follows:
in a first aspect, the present invention provides a method for testing a display screen, which is applied to a display device, wherein the method for testing the display screen includes the following steps:
collecting a display picture of display equipment in real time;
comparing the collected display picture with the pre-processed picture to obtain a comparison result;
and obtaining a test result of the display picture according to the comparison result.
Further, still include:
the method comprises the steps of collecting multi-frame display pictures in advance, and preprocessing the collected multi-frame display pictures to obtain multi-frame preprocessed pictures.
Further, the real-time acquisition of the display picture of the display device specifically includes the following steps:
shooting a video containing a display picture of the display equipment in real time through a camera;
collecting a plurality of frames of display pictures from the video, and marking the collected plurality of frames of display pictures as samples to be detected;
the collected multi-frame display pictures are all display pictures in a signal period in the video, and the display pictures in the sample to be detected correspond to the multi-frame preprocessing pictures one to one.
Further, the comparing the collected display picture with the pre-processed picture to obtain a comparison result specifically comprises the following steps:
calculating the peak signal-to-noise ratio of each frame of display picture in the sample to be detected, and calculating the peak signal-to-noise ratio of each frame of the preprocessing picture;
comparing the peak signal-to-noise ratio of each frame of display picture with the peak signal-to-noise ratio of the corresponding preprocessed picture to obtain a comparison result;
and judging whether the display picture is an abnormal picture according to the comparison result.
Further, the calculating the peak signal-to-noise ratio value of each frame of the preprocessed picture further comprises:
and setting a signal-to-noise ratio threshold value of each frame of the preprocessed picture.
Further, the step of judging whether the display picture is an abnormal picture according to the comparison result specifically includes the following steps:
when the peak signal-to-noise ratio value of each frame of display picture and the peak signal-to-noise ratio value of the corresponding preprocessing picture are both larger than the signal-to-noise ratio threshold value, judging that the display picture is a normal picture;
when the peak signal-to-noise ratio of each frame of display picture and the peak signal-to-noise ratio of the corresponding preprocessing picture are both smaller than the signal-to-noise ratio threshold, judging whether the similarity value of the display picture and the preprocessing picture is smaller than the similarity threshold;
when the similarity value of the display picture and the preprocessed picture is larger than a similarity threshold value, judging that the display picture is a normal picture;
and when the similarity value of the display picture and the preprocessed picture is smaller than a similarity threshold value, judging that the display picture is an abnormal picture.
Further, the obtaining of the test result of the display picture according to the comparison result specifically includes the following steps:
when the acquired display picture is an abnormal picture, acquiring an input adjusting instruction;
adjusting the display parameters of the display equipment according to the adjustment instruction, and judging whether the similarity value of the adjusted display picture and the preprocessed picture is smaller than a similarity threshold value or not;
and when the similarity value of the adjusted display picture and the preprocessed picture is larger than the similarity threshold value, generating a detection report based on the display parameters.
Further, the determining whether the similarity value between the adjusted display screen and the preprocessed screen is smaller than a similarity threshold value further includes:
when the similarity value of the adjusted display picture and the preprocessed picture is smaller than the similarity threshold value, continuously adjusting the display parameters of the display equipment through the adjusting instruction
In a second aspect, the present invention further provides a terminal, which includes a processor, and a memory connected to the processor, where the memory stores a test program for a display screen, and the test program for a display screen is used to implement the operation of the test method for a display screen according to the first aspect when executed by the processor.
In a third aspect, the present invention further provides a storage medium, where the storage medium stores a test program of a display screen, and the test program of the display screen is executed by a processor to implement the operation of the test method of the display screen according to the first aspect.
The invention adopts the technical scheme and has the following effects:
according to the invention, the display picture of the display equipment is acquired, and the acquired display picture is compared with the preprocessed picture, so that the test result of the display picture is obtained according to the comparison result, the function of automatically testing the display performance of the display equipment is realized, and the test precision of automatically testing the display picture is improved.
Drawings
FIG. 1 is a flowchart illustrating a method for testing a display screen according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a process of testing a display screen according to an embodiment of the present invention.
Fig. 3 is a functional schematic diagram of a terminal in an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Example one
When digital performance tests are performed on equipment such as a set top box and a television, abnormal pictures of videos played by display equipment need to be observed manually, so that whether the digital performance of the display equipment meets requirements or not is determined, and a large amount of manpower is consumed by the manual observation mode; when the tester is used for testing, the tester is easily influenced by environmental factors, so that the identification precision in the testing process is not high.
The main purpose of this embodiment is: the method for testing the display picture avoids the influence of environmental factors and improves the identification precision in the testing process under the condition of realizing the testing of the display picture.
As shown in fig. 1, in an implementation manner of this embodiment, the method for testing a display screen includes the following steps:
and S100, acquiring a display picture of the display equipment in real time.
In this embodiment, the method for testing a display screen is applied to a display device, and the display device includes but is not limited to: set-top boxes, televisions, and the like.
In this embodiment, a camera and a tester need to be provided, and the camera and the tester are respectively connected with a test terminal; when the camera is set, the camera needs to be aligned to a display screen of a standard display device (a display device which is subjected to a display test and has a qualified display performance), and a shooting area of the camera is overlapped with the display screen of the display device, so that a shooting picture of the camera is a display picture of the display device; and when the tester is set, the test terminal is connected with the tester through a GPIB/LAN interface.
After the camera and the tester are arranged, a section of video is shot through the camera, so that a normal picture (namely a standard picture) for detection and comparison is set through the video; when the video is shot, a normal signal picture can be sent to a display screen of the display equipment through the digital signal generator, and the normal signal picture is displayed through the display equipment; then, the camera is used for collecting the picture displayed by the display equipment to obtain a video containing the normal picture; when the video is shot, the positions of the camera and the display device need to be ensured to be unchanged, and the illumination environment outside the display device is ensured to be unchanged, namely, the environment for initially acquiring the video is ensured to be consistent with the environment for later-stage real-time acquisition of the video.
After the video is shot, preprocessing the video is needed to obtain a plurality of frames of the preprocessed pictures; when the video is processed, intercepting a part of the video in the video through a video processing tool, wherein the duration of the intercepted part of the video is a complete sampling period (for example: 30 s); after a part of videos in the videos is intercepted, multiple frames of display pictures are collected from the intercepted part of videos, wherein the multiple frames of display pictures are the display pictures collected according to a certain frequency (for example, 30 frames are collected every second).
After multiple frames of the display pictures are collected, adjusting the size of the collected display pictures to ensure that the size of the multiple frames of the display pictures is consistent with the size of the pictures shot by the camera; and after adjusting the size of a plurality of frames of the display picture, obtaining a plurality of frames of the preprocessing picture, wherein the preprocessing picture is a normal picture for detecting and comparing.
Namely, the step S100 is preceded by:
and S001, collecting a plurality of frames of display pictures in advance, and preprocessing the collected plurality of frames of display pictures to obtain a plurality of frames of preprocessed pictures.
In this embodiment, after obtaining multiple frames of the preprocessed pictures, taking the multiple frames of the preprocessed pictures as a standard template for testing, and comparing a display picture of a display device to be tested, which is acquired in real time, with the standard template, so as to test the digital performance of the display device to be tested.
Specifically, when an actual test is carried out, a video containing a display picture of a display device to be tested is shot in real time through the camera, then, a plurality of frames of display pictures are collected from the video, and the collected plurality of frames of display pictures are marked as samples to be tested; in an implementation manner of the present application, the signal period may be 30 s.
When multiple frames of the display pictures are collected, the multiple frames of real-time display pictures can be collected according to a certain frequency; it should be noted that, in this embodiment, the set sampling frequency is the same as the acquisition frequency of the pre-processed picture (for example, 30 frames are acquired per second), and the signal period of sampling is also the same as the clipping period of the pre-processed picture; therefore, in the sample to be tested, the acquired display picture corresponds to a plurality of frames of the preprocessing picture one to one (namely, the number of the acquired display picture is the same as that of the preprocessing picture, and the time interval of each frame in the acquired display picture is the same as that of each frame in the preprocessing picture), so that the acquired display picture and the preprocessing picture are compared one to one in the process of testing conveniently.
Namely, the step S100 specifically includes the following steps:
step S110, shooting a video containing a display picture of the display equipment in real time through a camera;
and step S120, collecting multi-frame display pictures from the video, and marking the collected multi-frame display pictures as samples to be detected.
In the embodiment, the display picture of the display device is obtained in real time, the obtained display picture is marked as the sample to be detected, and the marked sample to be detected can be compared with the preprocessed picture, so that whether an abnormal picture exists in the sample to be detected or not is judged.
As shown in fig. 1, in an implementation manner of this embodiment, the method for testing a display screen further includes the following steps:
and S200, comparing the acquired display picture with the pre-processed picture to obtain a comparison result.
In this embodiment, after the sample to be detected is obtained, a display picture in the sample to be detected may be compared with a pre-processing picture, so as to determine whether the acquired display picture is an abnormal picture.
Specifically, during comparison, the preprocessing picture is played in a circulating playing mode, and then the display picture acquired in real time is compared with the preprocessing picture according to a one-by-one comparison principle.
When picture comparison is carried out, a picture comparison algorithm is involved, the Peak Signal-to-Noise Ratio (PSNR for short hereinafter) of each frame of display picture in the sample to be detected needs to be calculated, and the PSNR of each frame of the preprocessing picture needs to be calculated; and then comparing the PSNR of each frame of display picture with the PSNR of the corresponding preprocessing picture, and judging whether the display picture is an abnormal picture or not according to a comparison result.
For example, under the condition of displaying the same content, the PSNR of the display picture acquired in real time is calculated, the PSNR of the preprocessing picture is calculated, then the PSNR of the display picture and the PSNR of the preprocessing picture are compared, whether the similarity between the display picture acquired in real time and the preprocessing picture is greater than a similarity threshold (the similarity threshold depends on the display content, and different display contents have different similarity thresholds) is judged, if the similarity between the display picture acquired in real time and the preprocessing picture is greater than a similarity threshold, the similarity between the display picture acquired in real time and the preprocessing picture is determined to be very high, and the display picture acquired in real time is not abnormal.
That is, the step S200 specifically includes the following steps:
step S210, calculating the peak signal-to-noise ratio of each frame of display picture in the sample to be detected and calculating the peak signal-to-noise ratio of each frame of the preprocessed picture;
step S220, comparing the peak signal-to-noise ratio of each frame of display picture with the peak signal-to-noise ratio of the corresponding preprocessing picture to obtain a comparison result;
step S230, determining whether the display frame is an abnormal frame according to the comparison result.
Specifically, before comparing the PSNR of each frame of display image with the PSNR of the corresponding pre-processed image, a signal-to-noise ratio threshold of each frame of pre-processed image needs to be set, so that the display image acquired in real time by each frame is accurately compared through the signal-to-noise ratio threshold, and the test error is reduced.
Namely, after the step S210, the following steps are further included:
step S211, setting a signal-to-noise ratio threshold of each frame of the preprocessed picture.
In this embodiment, different signal-to-noise ratio thresholds N are set according to different pictures, and when the PSNR of each frame of display picture and the PSNR of the corresponding preprocessed picture are both greater than or equal to N, it is determined that the similarity between the display picture acquired in real time and the preprocessed picture is very high, and the display picture acquired in real time is not abnormal; when the PSNR of each frame of the display image and the PSNR of the corresponding pre-processed image are both smaller than N, it is necessary to further detect the structural similarity (hereinafter referred to as "structural similarity index" for short) between the two frames.
When the structural similarity detection is carried out on a display picture and a preprocessing picture which are collected in real time, a similarity threshold value F is set according to actually detected data; if the similarity value of the display picture acquired in real time and the preprocessed picture is larger than F, judging that the similarity of the display picture acquired in real time and the preprocessed picture is very high, wherein the display picture acquired in real time is a normal picture; and if the similarity value of the real-time collected display picture and the preprocessed picture is smaller than F, judging that the real-time collected display picture is an abnormal picture.
Step S221, when the peak signal-to-noise ratio value of each frame of display picture and the peak signal-to-noise ratio value of the corresponding preprocessing picture are both larger than the signal-to-noise ratio threshold, judging that the display picture is a normal picture;
step S222, when the peak signal-to-noise ratio value of each frame of display picture and the peak signal-to-noise ratio value of the corresponding preprocessing picture are both smaller than the signal-to-noise ratio threshold, judging whether the similarity value of the display picture and the preprocessing picture is smaller than a similarity threshold;
step S223, when the similarity value between the display picture and the preprocessed picture is greater than the similarity threshold value, judging that the display picture is a normal picture;
step S224, when the similarity value between the display screen and the preprocessed screen is smaller than the similarity threshold, determining that the display screen is an abnormal screen.
According to the embodiment, the display picture acquired in real time is compared with the preprocessed picture according to the picture comparison algorithm, an automatic test mode is realized, and whether the display picture acquired in real time is an abnormal picture or not is accurately judged based on the algorithm.
As shown in fig. 1, in an implementation manner of this embodiment, the method for testing a display screen further includes the following steps:
and step S300, obtaining a test result of the display picture according to the comparison result.
In this embodiment, after the display screen acquired in real time is determined, processing may be performed for an abnormal display screen.
Specifically, after the abnormity of the display picture acquired in real time is identified, the tester feeds back the abnormity information to the corresponding test terminal; and after receiving the feedback information, the test terminal acquires a corresponding instrument instruction (namely the adjustment instruction) from the tester, and adjusts the abnormal display equipment through the GPIB/LAN interface and the instrument instruction so as to modify the display parameters of the abnormal display equipment, so that the real-time display picture of the modified display equipment has no error with the preprocessed picture.
After modifying the display parameters of the display device, further judging whether the similarity value between the adjusted display picture and the preprocessed picture is smaller than a similarity threshold value F, if so, indicating that the similarity between the adjusted display picture and the preprocessed picture is very high, and the adjusted display picture meets the display requirement; at this time, parameters in the tester and display parameters of the display device are acquired, a detection report is generated based on the acquired tester parameters and display parameters of the display device, and the generated detection report is stored for subsequent viewing.
Namely, the step S300 specifically includes the following steps:
step S310, when the acquired display picture is an abnormal picture, acquiring an input adjusting instruction;
step S320, adjusting the display parameters of the display device according to the adjustment instruction, and judging whether the similarity value between the adjusted display picture and the preprocessed picture is smaller than a similarity threshold value;
and step S330, when the similarity value between the adjusted display picture and the preprocessed picture is greater than the similarity threshold value, generating a detection report based on the display parameters.
In another implementation manner of this embodiment, after the display parameter of the display device is adjusted, if the similarity value between the adjusted display screen and the pre-processing screen is smaller than the similarity threshold F, it indicates that the adjusted real-time display screen does not meet the display requirement, and at this time, the display parameter of the display device is continuously adjusted through the adjustment instruction until the similarity between the adjusted display screen and the pre-processing screen meets the display requirement.
Step S321, when the similarity value between the adjusted display image and the preprocessed image is smaller than the similarity threshold, continuing to adjust the display parameter of the display device through the adjustment instruction.
After the detection report is generated, the terminal controls the tester to terminate the detection of the display device and sends a corresponding instruction to the tester to control the tester to test the next item, namely, the next display device.
As shown in fig. 2, in practical application, the test process of the present embodiment includes the following steps:
step S11, adjusting and fixing the distance between the camera and the tested product;
step S12, the camera samples the video of the tested product and processes the video;
step S13, circularly playing the sampling video;
step S14, controlling the tester to adjust parameters through the GBIP/LAN interface, and comparing the picture captured by the camera with the sampling video;
step S15, PSNR comparison is carried out, and whether the PSNR comparison is larger than a threshold value N is judged; if yes, go to step S17; if not, go to step S16;
step S16, SSIM comparison is carried out, and whether the SSIM comparison is larger than a threshold value F is judged; if yes, go to step S17; if not, returning to the step S14;
and step S17, displaying whether the video is abnormal, reading the instrument parameters and writing a report.
In the embodiment, the display picture of the display device is collected, and the collected display picture is compared with the preprocessed picture, so that the test result of the display picture is obtained according to the comparison result, the function of automatically testing the display performance of the display device is realized, and the test precision of automatically testing the display picture is improved.
Example two
As shown in fig. 3, the present embodiment provides a terminal, which includes a processor 10, and a memory 20 connected to the processor 10, where the memory 20 stores a test program of a display screen, and the test program of the display screen is executed by the processor 10 to implement the operation of the test method of the display screen according to the first embodiment; as described above.
EXAMPLE III
The present embodiment provides a storage medium, wherein the storage medium stores a test program of a display screen, and the test program of the display screen is used for implementing the operation of the test method of the display screen according to the first embodiment when being executed by a processor; as described above.
In summary, the display device and the method of the invention acquire the display picture of the display device and compare the acquired display picture with the preprocessed picture, so as to obtain the test result of the display picture according to the comparison result, thereby realizing the function of automatically testing the display performance of the display device and improving the test precision of automatically testing the display picture.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It is to be understood that the invention is not limited to the examples described above, but that modifications and variations may be effected thereto by those of ordinary skill in the art in light of the foregoing description, and that all such modifications and variations are intended to be within the scope of the invention as defined by the appended claims.

Claims (10)

1. A method for testing a display screen is applied to display equipment, and is characterized by comprising the following steps:
collecting a display picture of display equipment in real time;
comparing the collected display picture with the pre-processed picture to obtain a comparison result;
and obtaining a test result of the display picture according to the comparison result.
2. The method for testing a display screen according to claim 1, further comprising:
the method comprises the steps of collecting multi-frame display pictures in advance, and preprocessing the collected multi-frame display pictures to obtain multi-frame preprocessed pictures.
3. The method for testing the display screen according to claim 1, wherein the real-time collection of the display screen of the display device specifically comprises the following steps:
shooting a video containing a display picture of the display equipment in real time through a camera;
collecting a plurality of frames of display pictures from the video, and marking the collected plurality of frames of display pictures as samples to be detected;
the collected multi-frame display pictures are all display pictures in a signal period in the video, and the display pictures in the sample to be detected correspond to the multi-frame preprocessing pictures one to one.
4. The method for testing the display screen according to claim 3, wherein the step of comparing the collected display screen with the pre-processed screen to obtain a comparison result specifically comprises the following steps:
calculating the peak signal-to-noise ratio of each frame of display picture in the sample to be detected, and calculating the peak signal-to-noise ratio of each frame of the preprocessing picture;
comparing the peak signal-to-noise ratio of each frame of display picture with the peak signal-to-noise ratio of the corresponding preprocessed picture to obtain a comparison result;
and judging whether the display picture is an abnormal picture according to the comparison result.
5. The method for testing a display according to claim 4, wherein the calculating the peak SNR value of each frame of the preprocessed picture further comprises:
and setting a signal-to-noise ratio threshold value of each frame of the preprocessed picture.
6. The method for testing a display screen according to claim 5, wherein the step of determining whether the display screen is an abnormal screen according to the comparison result specifically comprises the following steps:
when the peak signal-to-noise ratio value of each frame of display picture and the peak signal-to-noise ratio value of the corresponding preprocessing picture are both larger than the signal-to-noise ratio threshold value, judging that the display picture is a normal picture;
when the peak signal-to-noise ratio of each frame of display picture and the peak signal-to-noise ratio of the corresponding preprocessing picture are both smaller than the signal-to-noise ratio threshold, judging whether the similarity value of the display picture and the preprocessing picture is smaller than the similarity threshold;
when the similarity value of the display picture and the preprocessed picture is larger than a similarity threshold value, judging that the display picture is a normal picture;
and when the similarity value of the display picture and the preprocessed picture is smaller than a similarity threshold value, judging that the display picture is an abnormal picture.
7. The method for testing a display screen according to claim 6, wherein the step of obtaining the test result of the display screen according to the comparison result specifically comprises the following steps:
when the acquired display picture is an abnormal picture, acquiring an input adjusting instruction;
adjusting the display parameters of the display equipment according to the adjustment instruction, and judging whether the similarity value of the adjusted display picture and the preprocessed picture is smaller than a similarity threshold value or not;
and when the similarity value of the adjusted display picture and the preprocessed picture is larger than the similarity threshold value, generating a detection report based on the display parameters.
8. The method for testing a display screen according to claim 7, wherein the determining whether the similarity value between the adjusted display screen and the preprocessed screen is smaller than a similarity threshold further comprises:
and when the similarity value of the adjusted display picture and the preprocessed picture is smaller than the similarity threshold value, continuously adjusting the display parameters of the display equipment through the adjusting instruction.
9. A terminal comprising a processor, and a memory connected to the processor, the memory storing a test program for a display, the test program for a display being executed by the processor to perform operations of the method for testing a display according to any one of claims 1 to 8.
10. A storage medium storing a test program for a display, the test program for a display being executed by a processor to perform an operation of the test method for a display according to any one of claims 1 to 8.
CN202010597950.2A 2020-06-28 2020-06-28 Display picture testing method, terminal and storage medium Pending CN113852800A (en)

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CN108663374A (en) * 2018-05-16 2018-10-16 京东方科技集团股份有限公司 Test method, test device and the test system of display device
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