WO2020259046A1

WO2020259046A1 - Dynamic image-based test method and system

Info

Publication number: WO2020259046A1
Application number: PCT/CN2020/086825
Authority: WO
Inventors: 郑海明; 陈志列
Original assignee: 研祥智能科技股份有限公司
Priority date: 2019-06-27
Filing date: 2020-04-24
Publication date: 2020-12-30
Also published as: CN110891173A; CN113271460B; CN110891173B; CN113271460A

Abstract

The present invention provides a dynamic image-based test method and system. The method comprises: obtaining reference pictures from sample dynamic images played by a reference device, wherein the reference pictures comprises sample fixed identifiers and sample dynamic identifiers, the sample fixed identifiers corresponding to different reference pictures are the same, and the sample dynamic identifiers corresponding to different reference pictures are different; obtaining target pictures from the sample dynamic images played by a device under test, wherein the target pictures comprise target fixed identifiers and target dynamic identifiers, the target fixed identifiers corresponding to different target pictures are the same, and the target dynamic identifiers corresponding to different target pictures are different; and determining, according to the sample fixed identifiers and the target fixed identifiers, whether the device under test plays the sample dynamic image normally. According to the present invention, whether a device under test, especially a television, plays images normally can be tested without manual intervention, thereby improving the test speed and accuracy while reducing labor costs.

Description

Dynamic image detection method and system

Technical field

The present invention relates to the technical field of image processing, in particular to a method and system for detecting dynamic images.

Background technique

A dynamic image is a continuously gradual static image or a sequence of graphics, which is sequentially changed and displayed along the time axis, thereby generating a media form of motion visual experience. Both animation and video belong to the category of "moving images". In TV production, dynamic video detection is required before the TV leaves the factory to detect whether the TV can play video, whether the video playback is smooth, whether there is an abnormal picture, etc., only when the functions of the above detection items are normal, In order to meet the factory requirements and ensure the smooth circulation of products in the market, the reasonable interests of both parties to the TV transaction can be protected, and unnecessary disputes caused by product quality problems can be reduced. Therefore, it is necessary to conduct dynamic video detection on the TV. Indispensable.

At present, the manufacturers' detection schemes are all done manually, and workers are prone to fatigue due to long-term repetitive operations, leading to false detections, and the gradual increase in labor costs has also continuously increased the production cost of TV sets.

Summary of the invention

In order to solve the above-mentioned problems, the dynamic image detection method and system provided by the present invention can detect whether the equipment under test, especially whether the television is playing images normally, without manual intervention, which saves labor costs and improves the speed and accuracy of detection. degree.

In the first aspect, the present invention provides a dynamic image detection method, including:

Obtain a reference picture from the sample dynamic image played by the reference device, where the reference picture includes: a sample fixed identifier and a sample dynamic identifier. The sample fixed identifiers corresponding to different reference pictures are the same, and the sample dynamic identifiers corresponding to different reference pictures Not the same;

Obtain a target image from the sample dynamic image played by the device under test, where the target image includes: a target fixed identifier and a target dynamic identifier. Different target images correspond to the same fixed target identifier, and different target images correspond to target dynamic identifiers. Not the same;

According to the sample fixed identifier and the target fixed identifier, it is determined whether the device under test normally plays the sample dynamic image.

Optionally, the step of obtaining the reference picture from the sample dynamic image played by the reference device includes:

When the reference device plays the sample dynamic picture, the display interface of the reference device is shot frame by frame, and the picture obtained by the frame shooting is used as the reference picture.

Optionally, the step of obtaining the target picture from the sample dynamic image played by the device under test includes:

When the device under test plays the sample dynamic image, according to a preset interval time, the display interface of the device under test is photographed, and the captured picture is used as the target picture.

Optionally, the step of judging whether the device under test normally plays the sample dynamic image according to the sample fixed identifier and the target fixed identifier includes:

Compare the sample fixed mark in any reference picture with the target fixed mark in the target picture;

If there is at least one target fixed mark in the target picture that does not match the sample fixed mark in the reference picture, it is determined that the device under test has a black screen or/and no signal.

Optionally, the method further includes:

If the target fixed identifier in each target picture matches the sample fixed identifier in the reference picture, obtain at least two target dynamic identifiers corresponding to the target picture;

According to the preset time interval and the target dynamic identifier corresponding to the adjacent target screen, determine whether the device under test has a stuck phenomenon;

If the difference between the target dynamic identifiers corresponding to the adjacent target pictures does not match the preset time interval, the judgment result is that the device under test has a stuck phenomenon.

Optionally, different sample dynamic identifiers are timestamps on screens corresponding to different frames in the sample dynamic image, and the target dynamic identifiers are timestamps on the screen corresponding to one frame in the sample dynamic image;

The method also includes:

If the target fixed identifier in each target picture matches the sample fixed identifier in the reference picture, mark the reference picture according to the sample dynamic identifier;

Acquiring a reference picture corresponding to the target picture according to the target dynamic identifier corresponding to the target picture and the sample dynamic identifier corresponding to the reference picture;

According to the target image and the reference image corresponding to the target image, it is determined whether the device under test has a color difference phenomenon.

Optionally, the judging whether the device under test has chromatic anomaly based on the target picture and the reference picture corresponding to the target picture includes: acquiring the first static picture area and the first static picture area in the target picture The second still picture area in the reference picture corresponding to the target picture, wherein any frame image of the sample dynamic image includes a still picture area;

Judging whether the device under test has a color difference phenomenon according to the first gray value of the first static image area and the second gray value of the second static image area;

Or/and, acquiring the third gray value of the target picture and the fourth gray value of the reference picture corresponding to the target picture;

According to the third gray value and the fourth gray value, it is determined whether the device under test has color difference.

Optionally, the judging whether the device under test has chromatic anomalies based on the target picture and the reference picture corresponding to the target picture further includes:

Splitting the target picture and the reference picture corresponding to the target picture equally to obtain the same number of target sub-pictures and reference sub-pictures;

Acquiring the fifth gray value of the target sub-picture and the sixth gray value of the reference sub-picture;

According to the fifth gray value and the sixth gray value, it is determined whether the device under test has bright shadows or/and dark shadows.

Optionally, the sample fixed mark is located at the first corner of the reference picture;

The sample dynamic identification is located at a second corner of the reference picture, wherein the first corner and the second corner are located on a diagonal of the reference picture;

After the step of using the picture obtained frame by frame as the reference picture, the detection method further includes:

Acquiring the position information of the sample fixed identification and the position information of the sample dynamic identification of the reference picture;

Intercepting the reference picture according to the position information of the fixed mark of the sample and the position information of the dynamic mark of the sample, and use the intercepted reference picture as the new reference picture;

The target fixed identifier is located at the first corner of the target screen;

The target dynamic identifier is located at a second corner of the target picture, wherein the first corner and the second corner are located on a diagonal of the target picture;

After the step of using the captured image as the target image, the detection method further includes:

Acquiring the position information of the target fixed identifier of the target screen and the position information of the target dynamic identifier;

According to the position information of the fixed target identification and the position information of the dynamic target identification, the target screen is intercepted, and the intercepted target to-be-tested screen is used as the new target screen.

In a second aspect, the present invention provides a dynamic image detection system, including:

The first acquisition module is configured to acquire a reference picture from the sample dynamic image played by the reference device, where the reference picture includes: a sample fixed identifier and a sample dynamic identifier, and the sample fixed identifiers corresponding to different reference pictures are the same but different The dynamic identification of the samples corresponding to the reference images of is not the same;

The second acquisition module is configured to acquire a target picture from the sample dynamic image played by the device under test, wherein the target picture includes: a target fixed identifier and a target dynamic identifier, and different target pictures correspond to the same fixed target identifier, The target dynamic identifiers corresponding to different target screens are different;

The first determination module is configured to determine whether the device under test normally plays the sample dynamic image according to the sample fixed identifier and the target fixed identifier.

The dynamic image detection method and system provided by the embodiments of the present invention can detect whether the device under test, especially the TV is normally playing images, without manual intervention, which saves labor costs and improves the speed and accuracy of detection.

Description of the drawings

FIG. 1 is a schematic flowchart of a method for detecting moving images according to an embodiment of the application;

FIG. 2 is a schematic flowchart of a method for detecting moving images according to an embodiment of the application;

FIG. 3 is a schematic structural diagram of a dynamic image detection method according to an embodiment of the application.

Detailed ways

In order to make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is only a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

First, the terminology involved in the present invention will be explained.

Dynamic image: refers to the use of computer technology to process the image, and then continuously broadcast the object to be processed at a speed of 25-30 frames per second to achieve an effect similar to a movie or TV program. The processed object forms a dynamic video image file.

Template matching: When the object pattern is expressed in the form of an image, the operation of judging whether it exists according to the similarity of each part of the image and an image, and obtaining the position of the object in the image.

RGB: represents the colors of the three channels of red (R), green (G), and blue (B).

Optical character recognition: refers to the process in which electronic equipment checks characters printed on paper, determines their shape by detecting dark and light patterns, and then translates them into computer characters in the same way as character recognition.

On-line testing: refers to the use of soft-sensing technology to perform real-time testing and real-time feedback through equipment installed on the production line.

In the first aspect, the present invention provides a method for detecting moving images, which is particularly suitable for detecting moving images played on televisions. Refer to FIG. 1, which shows a schematic diagram of a method for detecting moving images according to an embodiment of the present application. In a sexual flow chart, the dynamic image detection method includes the following steps:

Step S101: Obtain a reference picture from the sample dynamic image played by the reference device, where the reference picture includes: a sample fixed identifier and a sample dynamic identifier. The sample fixed identifiers corresponding to different reference pictures are the same, and different reference pictures correspond to The sample dynamic identification is not the same.

Specifically, the reference device is a display device that has been tested and passed all indicators. In an optional embodiment, the sample fixed identifier is an HDMI (High Definition Multimedia Interface, high-definition multimedia interface) channel identifier. The sample dynamic identification is the time stamp of the frame corresponding to the sample dynamic image.

In an optional embodiment, the sample fixed identifier is located at the first corner of the reference picture.

The sample dynamic identification is located at a second corner of the reference picture, wherein the first corner and the second corner are located on a diagonal of the reference picture.

Obtain the position information of the sample fixed identification and the position information of the sample dynamic identification of the reference picture.

According to the position information of the fixed mark of the sample and the position information of the dynamic mark of the sample, the reference picture is intercepted, and the intercepted reference picture is used as the new reference picture.

According to the position of the sample fixed mark and the sample dynamic mark, the reference picture is cropped to make the reference picture completely the picture displayed by the reference device, and the redundant image information in the reference picture obtained by shooting is removed, thereby reducing Therefore, the interference of external factors on the obtained reference picture is reduced, and the detection method reduces the requirements on the detection environment while improving the accuracy of the detection method.

In an optional embodiment, firstly, the HDMI channel template matching algorithm is performed on the captured images to locate the coordinates of the HDMI channel identifier of the reference TV, and then it is determined that the upper left corner of the reference TV display screen is in the shooting location. Afterwards, run the time stamp template matching algorithm to locate the coordinates of the time stamp identifier of the reference TV, so as to determine the coordinates of the lower right corner of the reference TV display screen in the picture obtained by shooting; finally, The obtained coordinates are used to crop the picture obtained by shooting, and the background picture is removed to obtain the complete picture displayed by the reference TV in the picture obtained by shooting.

Step S102: Obtain a target image from the sample dynamic image played by the device under test, where the target image includes: a target fixed identifier and a target dynamic identifier. Different target images correspond to the same fixed target identifier, and different target images correspond to The target dynamic ID is not the same.

In an optional embodiment, the target fixed identifier is located at the first corner of the target screen.

The target dynamic identifier is located at a second corner of the target picture, wherein the first corner and the second corner are located on a diagonal of the target picture.

Obtain the position information of the target fixed identifier of the target screen and the position information of the target dynamic identifier.

According to the positions of the target fixed mark and the target dynamic mark, the target picture is cropped, so that the target picture can be completely displayed by the device under test, and redundant image information in the target picture obtained by shooting is removed, thereby The interference of external factors on the obtained target image is reduced, and the detection method reduces the requirements on the detection environment while improving the accuracy of the detection method, and enables the detection method to be applicable to any type of equipment under test.

In an optional embodiment, firstly, the HDMI channel template matching algorithm is performed on the captured images, which can locate the coordinates of the HDMI channel identifier of the TV to be tested, and then determine that the upper left corner of the display screen of the TV to be tested is The coordinates in the picture obtained by shooting; then, the time stamp template matching algorithm is run to locate the coordinates of the time stamp identifier of the TV to be tested, so as to determine that the lower right corner of the TV display screen to be tested is in the picture obtained by shooting Coordinates; Finally, the obtained coordinates are used to crop the image obtained by shooting, and the background image is removed to obtain the complete picture displayed by the TV under test in the image obtained by shooting.

Step S103: According to the sample fixed identifier and the target fixed identifier, determine whether the device under test normally plays the sample dynamic image.

Since the device under test and the reference device are both playing the same sample dynamic image, when the device under test normally plays the sample dynamic image, the target picture must exist in the reference picture, That is, when the device under test normally plays the sample dynamic image, the target fixed identifier must be the same as the sample fixed identifier. If it is determined that the sample fixed identifier is different from the target fixed identifier, it indicates that the device under test has a black screen or/and no signal.

The detection method can detect whether the equipment under test, especially whether the television is playing images normally, without manual intervention, which saves labor costs and improves the speed and accuracy of detection.

In an optional embodiment, the step of obtaining the reference picture from the sample dynamic image played by the reference device includes:

In an optional embodiment, the step of obtaining the target picture from the sample dynamic image played by the device under test includes:

In an optional embodiment, the step of judging whether the device under test normally plays the sample dynamic image according to the sample fixed identifier and the target fixed identifier includes:

Compare the sample fixed mark in any reference picture with the target fixed mark in the target picture.

If there is at least one target fixed mark in the target picture that does not match the sample fixed mark in the reference picture, it is determined that the device under test has a black screen or no signal.

In an alternative embodiment, when the TV to be tested starts to detect, firstly, the TV to be tested is switched to the HDMI channel and connected to the dynamic video source that is played in a loop, and the system controls the camera to take pictures at an interval of X Time, shooting three television screen images in sequence, wherein the X time is a preset time artificially;

Then, match the HDMI identifier template on the three captured TV screens. If any one of the three captured images fails to match, it means that the dynamic video detection fails, and the current TV under test is black or no signal. , And end the test.

In an optional embodiment, the method further includes:

If the target fixed identifier in each target picture matches the sample fixed identifier in the reference picture, obtain at least two target dynamic identifiers corresponding to the target picture.

According to the preset time interval and the target dynamic identifier corresponding to the adjacent target screen, it is determined whether the device under test has a stuck phenomenon.

Then, perform optical character recognition on the target dynamic identifiers of the three TV screens captured and save the recognition results into an array, for example: ["x1", "x2", "x3"], if the array is The difference between any adjacent two groups is different from X, for example ["00:02:05:07","00:02:05:07","00:02:05:37"], because the first Although the two images and the second image were taken at 0.5 second intervals, they are the same frame of image, so it shows that the TV has a stuck phenomenon, and the detection ends.

In an optional embodiment, different sample dynamic identifiers are timestamps on screens corresponding to different frames in the sample dynamic image, and the target dynamic identifiers are on the screen corresponding to one frame in the sample dynamic image. Timestamp.

The method also includes:

If the target fixed identifier in each target picture matches the sample fixed identifier in the reference picture, the reference picture is marked according to the sample dynamic identifier.

Specifically, first, the optical character recognition algorithm is run to recognize the dynamic identification of the sample in the reference picture, for example, the recognition result is "00:02:08:12". Then, save the corresponding reference screen to a folder named 000208.

According to the target dynamic identifier corresponding to the target image and the sample dynamic identifier corresponding to the reference image, a reference image corresponding to the target image is acquired.

Specifically, first, according to the target dynamic identifier corresponding to the target screen, such as 00:02:08:19, the dynamic image folder named 000208 is found, and then the sample is found in the dynamic image folder named 000208 The reference picture with the dynamic identification 00:02:08:19 is the reference picture corresponding to the target picture. By identifying the reference picture based on the sample dynamic identification, the speed of finding the reference picture corresponding to the target picture can be improved.

In an optional embodiment, the judging whether the device under test has chromatic anomalies based on the target picture and the reference picture corresponding to the target picture includes:

Acquiring a first still picture area in the target picture and a second still picture area in the reference picture corresponding to the target picture, wherein any frame of the sample dynamic image includes a still picture area.

According to the first gray value of the first static image area and the second gray value of the second static image area, it is determined whether the device under test has a color difference phenomenon.

Specifically, the static image area is the black frame area above any frame of the sample dynamic image, and the gray values of the target image and the reference image corresponding to the target image under the RGB three-channel Average value. Since the second static image area is black, the second gray value is less than 10. If the first gray value is greater than 10, it indicates that the device under test has a color difference phenomenon, which may be color cast problem. If the phenomenon of chromatic anomaly occurs, the test ends.

Or/and acquiring the third gray value of the target picture and the fourth gray value of the reference picture corresponding to the target picture.

Specifically, firstly, the third gray value of the three RGB channels is obtained for the target image as an array [Rmean, Gmean, Bmean]; the fourth gray value of the three RGB channels is obtained for the reference image corresponding to the target image It is an array [ROriginmean,GOriginmean,BOriginmean]. Then the third gray value and the fourth gray value are quotient respectively, to get the comparison array [ROriginmean/Rmean, GOriginmean/Gmean, BOriginmean/Bmean]; if the three values in the comparison array have any A value greater than 1.1 or less than 0.9 indicates that the device under test has chromatic anomalies, and the specific issue may be color cast. If the phenomenon of chromatic anomaly occurs, the test ends.

In an optional embodiment, the judging whether the device under test has chromatic anomalies based on the target picture and the reference picture corresponding to the target picture further includes:

The target picture and the reference picture corresponding to the target picture are equally split to obtain the same number of target sub-pictures and reference sub-pictures.

Acquiring the fifth gray value of the target sub-picture and the sixth gray value of the reference sub-picture.

Specifically, first, the screen to be tested is equally divided into 10 equally divided target sub-screens according to area, and the reference screen is equally divided into 10 equally divided reference sub-screens according to area.

After that, the fifth gray value of the target sub-picture is obtained as an array [m1, m2, m3, m4, m5, m6, m7, m8, m9, m10], and the sixth value of the reference sub-picture is obtained. The gray value is the array [m1',m2',m3',m4',m5',m6',m7',m8',m9',m10'], and the corresponding elements in the above two arrays are used as the quotient Get the gray-level difference array: [m1'/m1,m2'/m2,m3'/m3,m4'/m4,m5'/m5,m6'/m6,m7'/m7,m8'/m8,m9'/ m9,m10'/m10].

For the same frame of image of the same dynamic video, theoretically the gray value of the target picture and the reference picture corresponding to the target picture must be consistent, and the two will only cause the gray value to change under different backlight conditions. Therefore, in theory, the 10 elements of the gray-level difference array should be equal.

In this embodiment, the 10 elements of the gray-level difference array should be between 0.8 and 1.2. As long as any one element in the gray-level difference array does not meet the above conditions, it means that the image to be tested is in the corresponding area and the reference The picture difference is too big, there are defects of bright shadow, dark shadow or Yin Yang screen. If the device to be tested has defects of bright shadow, dark shadow or Yin and Yang screen, the test is ended.

In the second aspect, the present invention provides a method for detecting moving images, which is particularly suitable for detecting moving images played on a television. See FIG. 2, which shows a schematic diagram of a method for detecting moving images according to an embodiment of the present application. In a sexual flow chart, the dynamic image detection method includes the following steps:

Step S201: When the reference device plays the sample dynamic picture, the display interface of the reference device is photographed frame by frame, and the picture obtained by shooting frame by frame is used as the reference picture.

Step S202: When the device under test plays the sample dynamic image, according to a preset interval time, the display interface of the device under test is photographed, and the captured picture is used as the target picture.

Step S203: Compare the fixed mark of the sample in any reference picture with the fixed mark of the target in the target picture, and judge that the device under test has a black screen or/and no signal. If yes, go to step S215, if not, go to Step S204.

Wherein, if there is a target fixed mark in at least one target picture that does not match with a sample fixed mark in any one of the reference pictures, it is determined that the device under test has a black screen or/and no signal.

Step S204: Acquire target dynamic identifiers corresponding to at least two of the target pictures.

Step S205: According to the preset time interval and the target dynamic identification corresponding to the adjacent target screen, determine whether the device under test has a stuck phenomenon, if yes, execute step S215, if not, execute step S206.

Wherein, if the difference between the target dynamic identifiers corresponding to the adjacent target pictures does not match the preset time interval, the judgment result is that the device under test has a stuck phenomenon.

Step S206: Mark the reference picture according to the sample dynamic identification.

Step S207: Acquire a reference picture corresponding to the target picture according to the target dynamic identifier corresponding to the target picture and the sample dynamic identifier corresponding to the reference picture.

Wherein, different sample dynamic identifiers are timestamps on screens corresponding to different frames in the sample dynamic image, and the target dynamic identifiers are timestamps on the screen corresponding to one frame in the sample dynamic image. Any frame of the sample dynamic image includes a static image area.

Step S208: Acquire a first still picture area in the target picture and a second still picture area in the reference picture corresponding to the target picture.

Wherein, any frame image of the sample dynamic image includes a static image area.

Step S209: According to the first gray value of the first static image area and the second gray value of the second static image area, determine whether the device under test has a color difference phenomenon, if yes, perform step S215, if If no, go to step S210.

Step S210: Acquire the third gray value of the target picture and the fourth gray value of the reference picture corresponding to the target picture.

Step S211: According to the third gray value and the fourth gray value, determine whether the device under test has color difference phenomenon, if yes, execute step S215, if not, execute step S212.

Step S212: Split the target picture and the reference picture corresponding to the target picture equally to obtain target sub-pictures and reference sub-pictures with the same number.

Step S213: Acquire the fifth gray value of the target sub-picture and the sixth gray value of the reference sub-picture.

Step S214: According to the fifth gray value and the sixth gray value, determine whether the device under test has bright shadows or/and dark shadows, if yes, execute step S215, if not, execute step S215.

Step S215: Obtain the detection result.

The detection method can perform on-line detection of the equipment under test without manual intervention, especially whether the television is playing images normally, so as to realize the real-time detection of the equipment under test and real-time feedback of the detection result. Specifically, it includes: detecting whether there is a black screen or/and no signal, detecting whether there is a jam phenomenon, and detecting whether there is a color difference phenomenon, which saves labor costs and improves the speed and accuracy of detection degree.

In a third aspect, the present invention provides a dynamic image detection system 300. Referring to FIG. 3, FIG. 3 shows a schematic structural diagram of a dynamic image detection system according to an embodiment of the present application. The detection system 300 includes:

The first acquisition module 301 is configured to acquire a reference picture from the sample dynamic image played by the reference device, where the reference picture includes: a sample fixed identifier and a sample dynamic identifier, and the sample fixed identifiers corresponding to different reference pictures are the same, The dynamic identification of samples corresponding to different reference pictures is different.

The second acquisition module 302 is configured to acquire a target picture from the sample dynamic image played by the device under test, where the target picture includes: a target fixed identifier and a target dynamic identifier, and different target pictures correspond to the same fixed target identifier, The target dynamic identifiers corresponding to different target screens are different.

The first determination module 303 is configured to determine whether the device under test normally plays the sample dynamic image according to the sample fixed identifier and the target fixed identifier.

The detection system can detect whether the equipment under test, especially whether the television is playing images normally, without manual intervention, which saves labor costs and improves the speed and accuracy of detection.

In an optional embodiment, the first acquiring module 301 is further configured to shoot the display interface of the reference device frame by frame when the reference device plays the sample dynamic picture, and shoot frame by frame. The obtained picture serves as the reference picture.

In an optional embodiment, the second acquisition module 302 is further configured to, when the device under test plays the sample dynamic image, take pictures of the device under test according to a preset interval time. The interface is displayed, and the captured image is used as the target image.

In an optional embodiment, the first acquisition module 301 is further configured to compare the sample fixed identifier in any reference picture with the target fixed identifier in the target picture. If there is at least one target fixed mark in the target picture that does not match the sample fixed mark in the reference picture, it is determined that the device under test has at least a black screen or/and no signal.

In an optional embodiment, the system 300 further includes:

The third obtaining module is configured to obtain at least two target dynamic identifiers corresponding to the target screen.

The second judgment module is configured to judge whether the device under test has a stuck phenomenon according to the preset time interval and the target dynamic identifier corresponding to the adjacent target screen, if the adjacent target screen corresponds to If the difference between the target dynamic identification and the preset time interval does not match, the judgment result is that the device under test has a stuck phenomenon.

The system 300 also includes:

The marking module is configured to mark the reference picture according to the dynamic identification of the sample.

The fourth acquiring module is configured to acquire the reference picture corresponding to the target picture according to the target dynamic identifier corresponding to the target picture and the sample dynamic identifier corresponding to the reference picture.

The third judgment module is configured to judge whether the device under test has a color difference phenomenon based on the target picture and the reference picture corresponding to the target picture.

In an optional embodiment, any frame of the sample dynamic image includes a static image area. The third judgment module includes:

The first obtaining submodule is configured to obtain a first static picture area in the target picture and a second static picture area in the reference picture corresponding to the target picture.

The first judgment sub-module is configured to judge whether the device under test has a color difference phenomenon based on the first gray value of the first static image area and the second gray value of the second static image area.

The second obtaining submodule is configured to obtain the third gray value of the target picture and the fourth gray value of the reference picture corresponding to the target picture.

The second judging sub-module is configured to judge whether the device under test has a color difference phenomenon according to the third gray value and the fourth gray value.

In an optional embodiment, the third judgment module further includes:

The splitting sub-module is configured to equally split the target picture and the reference picture corresponding to the target picture to obtain the same number of target sub-pictures and reference sub-pictures.

The third obtaining sub-module is configured to obtain the fifth gray value of the target sub-picture and the sixth gray value of the reference sub-picture.

The third judgment sub-module is configured to judge whether the device under test has bright shadows or/and dark shadows according to the fifth gray value and the sixth gray value.

The detection system 300 includes:

The fifth acquiring module is configured to acquire the position information of the sample fixed identification and the position information of the sample dynamic identification of the reference picture.

The first interception module is configured to intercept the reference picture according to the position information of the fixed mark of the sample and the position information of the dynamic mark of the sample, and use the intercepted reference picture as the new reference picture.

The detection system 300 also includes:

The sixth acquiring module is configured to acquire the position information of the target fixed identifier of the target screen and the position information of the target dynamic identifier.

The second interception module is configured to intercept the target screen according to the position information of the target fixed identifier and the position information of the target dynamic identifier, and use the intercepted target picture to be tested as the new target picture.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. All should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

A method for detecting moving images, characterized in that it comprises:

Obtain a reference picture from the sample dynamic image played by the reference device, where the reference picture includes: a sample fixed identifier and a sample dynamic identifier. The sample fixed identifiers corresponding to different reference pictures are the same, and the sample dynamic identifiers corresponding to different reference pictures Not the same;

Obtain a target image from the sample dynamic image played by the device under test, where the target image includes: a target fixed identifier and a target dynamic identifier. Different target images correspond to the same fixed target identifier, and different target images correspond to target dynamic identifiers. Not the same;

According to the sample fixed identifier and the target fixed identifier, it is determined whether the device under test normally plays the sample dynamic image.
The method for detecting a moving image according to claim 1, wherein the step of obtaining the reference picture from the sample moving image played by the reference device comprises:

When the reference device plays the sample dynamic picture, the display interface of the reference device is shot frame by frame, and the picture obtained by the frame shooting is used as the reference picture.
The method for detecting a dynamic image according to claim 2, wherein the step of obtaining the target image from the sample dynamic image played by the device under test comprises:

When the device under test plays the sample dynamic image, according to a preset interval time, the display interface of the device under test is photographed, and the captured picture is used as the target picture.
The dynamic image detection method according to claim 3, wherein the step of judging whether the device under test normally plays the sample dynamic image according to the sample fixed identifier and the target fixed identifier comprises :

Compare the sample fixed mark in any reference picture with the target fixed mark in the target picture;

If there is at least one target fixed mark in the target picture that does not match the sample fixed mark in the reference picture, it is determined that the device under test has a black screen or/and no signal.
The method for detecting moving images according to claim 4, wherein the method further comprises:

If the target fixed identifier in each target picture matches the sample fixed identifier in the reference picture, obtain at least two target dynamic identifiers corresponding to the target picture;

According to the preset time interval and the target dynamic identifier corresponding to the adjacent target screen, determine whether the device under test has a stuck phenomenon;

If the difference between the target dynamic identifiers corresponding to the adjacent target pictures does not match the preset time interval, the judgment result is that the device under test has a stuck phenomenon.
The method for detecting a dynamic image according to claim 4, wherein the different sample dynamic identification is the time stamp on the screen corresponding to different frames in the sample dynamic image, and the target dynamic identification is the sample dynamic image The time stamp on the screen corresponding to one frame;

The method also includes:

If the target fixed identifier in each target picture matches the sample fixed identifier in the reference picture, mark the reference picture according to the sample dynamic identifier;

Acquiring a reference picture corresponding to the target picture according to the target dynamic identifier corresponding to the target picture and the sample dynamic identifier corresponding to the reference picture;

According to the target image and the reference image corresponding to the target image, it is determined whether the device under test has a color difference phenomenon.
The method for detecting a moving image according to claim 6, wherein the judging whether the device under test has a color difference phenomenon based on the target picture and the reference picture corresponding to the target picture comprises:

Acquiring a first still picture area in the target picture and a second still picture area in the reference picture corresponding to the target picture, wherein any frame image of the sample dynamic image includes a still picture area;

Judging whether the device under test has a color difference phenomenon according to the first gray value of the first static image area and the second gray value of the second static image area;

Or/and, acquiring the third gray value of the target picture and the fourth gray value of the reference picture corresponding to the target picture;

According to the third gray value and the fourth gray value, it is determined whether the device under test has color difference.
The method for detecting a moving image according to claim 6, wherein the determining whether the device under test has chromatic anomaly based on the target picture and the reference picture corresponding to the target picture, further comprising :

Splitting the target picture and the reference picture corresponding to the target picture equally to obtain the same number of target sub-pictures and reference sub-pictures;

Acquiring the fifth gray value of the target sub-picture and the sixth gray value of the reference sub-picture;

According to the fifth gray value and the sixth gray value, it is determined whether the device under test has bright shadows or/and dark shadows.
The method for detecting moving images according to claim 2, wherein the sample fixed mark is located at the first corner of the reference picture;

The sample dynamic identification is located at a second corner of the reference picture, wherein the first corner and the second corner are located on a diagonal of the reference picture;

After the step of using the picture obtained frame by frame as the reference picture, the detection method further includes:

Acquiring the position information of the sample fixed identification and the position information of the sample dynamic identification of the reference picture;

Intercepting the reference picture according to the position information of the fixed mark of the sample and the position information of the dynamic mark of the sample, and use the intercepted reference picture as the new reference picture;

The target fixed identifier is located at the first corner of the target screen;

The target dynamic identifier is located at a second corner of the target picture, wherein the first corner and the second corner are located on a diagonal of the target picture;

After the step of using the captured image as the target image, the detection method further includes:

Acquiring the position information of the target fixed identifier of the target screen and the position information of the target dynamic identifier;

According to the position information of the fixed target identification and the position information of the dynamic target identification, the target screen is intercepted, and the intercepted target to-be-tested screen is used as the new target screen.
A dynamic image detection system, characterized in that it comprises:

The first acquisition module is configured to acquire a reference picture from the sample dynamic image played by the reference device, where the reference picture includes: a sample fixed identifier and a sample dynamic identifier, and the sample fixed identifiers corresponding to different reference pictures are the same but different The dynamic identification of the samples corresponding to the reference images of is not the same;

The second acquisition module is configured to acquire a target picture from the sample dynamic image played by the device under test, wherein the target picture includes: a target fixed identifier and a target dynamic identifier, and different target pictures correspond to the same fixed target identifier, The target dynamic identifiers corresponding to different target screens are different;

The first determination module is configured to determine whether the device under test normally plays the sample dynamic image according to the sample fixed identifier and the target fixed identifier.