CN106686372A - Display terminal image display detection method and display terminal - Google Patents

Display terminal image display detection method and display terminal Download PDF

Info

Publication number
CN106686372A
CN106686372A CN201510767759.7A CN201510767759A CN106686372A CN 106686372 A CN106686372 A CN 106686372A CN 201510767759 A CN201510767759 A CN 201510767759A CN 106686372 A CN106686372 A CN 106686372A
Authority
CN
China
Prior art keywords
image
display terminal
shooting
display
similarity
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510767759.7A
Other languages
Chinese (zh)
Inventor
张驰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tianjin Samsung Electronics Co Ltd
Samsung Electronics Co Ltd
Original Assignee
Tianjin Samsung Electronics Co Ltd
Samsung Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tianjin Samsung Electronics Co Ltd, Samsung Electronics Co Ltd filed Critical Tianjin Samsung Electronics Co Ltd
Priority to CN201510767759.7A priority Critical patent/CN106686372A/en
Publication of CN106686372A publication Critical patent/CN106686372A/en
Pending legal-status Critical Current

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00Diagnosis, testing or measuring for television systems or their details

Abstract

The invention discloses a display terminal image display detection method, which comprises the following steps: 1) shooting an image being displayed by a display terminal; 2) carrying out pre-optimization processing on the obtained shot image; 3) carrying out image similarity comparison on the processed shot image and an original image of the shot image to judge whether the image display function of the display terminal is normal; and 4) displaying the judgment result in time. The disclosed display terminal image display detection method and the display terminal can automatically detect the image displayed and played on the display terminal and judge whether the image display function of the display terminal is normal without whole-course participation and detection of a user, so that a lot of precious time can be saved, and product using experience of the user for the display terminal is ensured.

Description

Detection method and its display terminal that a kind of display terminal image shows
Technical field
The present invention relates to technical field of electric appliances, the detection method that more particularly to a kind of display terminal image shows And its display terminal.
Background technology
With the continuous development of China's science and technology, display, projecting apparatus, all-in-one, computer, TV The domestic electric appliances such as machine, video camera, camera are increasingly popularized in people's daily life, are had become The indispensable part of people's life.
At present, for display terminals such as the television set with menu display function, computer displays, generally Need to detect the image display function of display terminal, to judge that the image display function of display terminal is No exception, existing problems.And traditional detection method, need the display terminals such as the whole viewing television set of user The image for showing is played, it is then whether abnormal to judge the image display function of display terminal with subjective feeling. Therefore, not only need user to participate in the overall process detection, waste user's substantial amounts of time, and cannot ensure to aobvious The Detection results for showing the image display function of terminal (are such as difficult to differentiate between image and show that it is display terminal to go wrong Vision signal problem of the display failure problems or outside input of itself to display terminal), it is impossible to meet user Real work and living needs, badly influence the product use feeling of user.
Therefore, at present in the urgent need to developing a kind of display terminal, it can automatically to playing on display terminal The image of display is detected whether extremely to judge the image display function of display terminal, whole without the need for user Detection is participated in, a large amount of valuable times of user can be saved, it is ensured that product use feeling of the user to display terminal Receive, offer convenience to the work and life of user.
The content of the invention
In view of this, it is an object of the invention to provide the detection method that shows of a kind of display terminal image and its aobvious Show terminal, it can be automatically to playing display image on display terminal is detected, it is quick to judge to show eventually Whether the image display function at end is abnormal, improves accuracy rate, participates in the overall process detection without the need for user, can save The a large amount of valuable times of user, it is ensured that product use feeling of the user to display terminal, to user work and Life offers convenience, and is conducive to strengthening the quality of the life of user, is of great practical significance.
For this purpose, the invention provides a kind of detection method that shows of display terminal image, comprises the following steps:
The first step:Shoot the image that display terminal is showing;
Second step:Shooting image to being obtained carries out pre-optimized process;
3rd step:The original image of treated shooting image and the shooting image is carried out into image similarity Relatively, judge whether the image display function of the display terminal is abnormal;The original image is to show eventually Before end shows, decoded by the outer video signal for receiving display terminal and obtained;
4th step:The judged result is shown in real time.
Wherein, in second step, the pre-optimized of the shooting image to being obtained processes operation and is specially: Remove noise processed.
Wherein, in the third step, when image similarity is less than default Similarity value, described display eventually is judged The image display function exception at end, and when image similarity is equal to or more than default Similarity value, judge The image display function of the display terminal is normal.
Wherein, the 3rd step specifically includes following sub-step:
A) shooting image and original image are carried out respectively pre-set image process, is obtained respectively corresponding The string of binary characters of presetting digit capacity;
B the difference digit of the string of binary characters of the two image presetting digit capacities) is compared, if difference digit When the ratio for accounting for presetting digit capacity is more than 1 with the default Similarity value sum, then judge that image similarity is less than Default Similarity value, the image display function exception of the display terminal;, whereas if difference digit accounts for pre- If the ratio of digit is less than or equal to 1 with the default Similarity value sum, then image similarity is judged Equal to or more than default Similarity value, the image display function exception of the display terminal.
Wherein, step A) comprise the following steps:
Default size is processed into for shooting image to be processed or original image, scaling is needed;
Then gray proces are carried out, the gray value of each pixel in the shooting image or original image is obtained;
Obtain the average gray value of whole pixels in the shooting image or original image;
The gray value of each pixel is compared with the average gray value, more than or equal to the average ash Angle value, then be recorded as binary one, and is less than the average gray value, then be recorded as Binary Zero;
All comparative results are combined, obtain shooting image or original image all pixels point two enter Character string processed.
Additionally, present invention also offers a kind of display terminal, including:
Image capturing unit, for shooting the image that display terminal is showing;
Pretreatment unit, is connected with image capturing unit, for the shooting obtained to image capturing unit Image carries out pre-optimized process;
Image decoding unit, for before display terminal shows, the outer video signal that display terminal is received Decoded and obtained the original image of the shooting image;
Abnormality detecting unit, is connected respectively with pretreatment unit, image decoding unit, for will be through institute The shooting image and described image decoding unit for stating pretreatment unit process decodes the original image for obtaining and carries out figure As similarity-rough set, whether extremely judge the image display function of the display terminal, when image similarity it is low When default Similarity value, the image display function exception of the display terminal is judged, and work as image similarity During equal to or more than default Similarity value, judge that the image display function of the display terminal is normal, and will Judgment result displays are to image-display units;
Image-display units, are connected with abnormality detecting unit, send for receiving the abnormality detecting unit The display terminal the whether abnormal judged result of image display function, and show in real time.
Wherein, described image shooting unit is camera, and described image decoding unit is video signal decoder.
Wherein, the pretreatment unit is used to the shooting image that obtains image capturing unit and is removed make an uproar Sonication.
Wherein, the abnormality detecting unit specifically includes following subelement:
Pre-set image processes subelement, for the shooting image and original image to be carried out respectively pre-set image Process, the string of binary characters of corresponding presetting digit capacity is obtained respectively;
Image comparing subunit, for comparing the difference position of the string of binary characters of the two image presetting digit capacities Number, if difference digit accounts for the ratio of presetting digit capacity when being more than 1 with the default Similarity value sum, sentences Disconnected image similarity is less than default Similarity value, the image display function exception of the display terminal;Conversely, If difference digit accounts for the ratio of presetting digit capacity when being less than or equal to 1 with the default Similarity value sum, Then judge that image similarity is equal to or more than default Similarity value, the image display function of the display terminal It is abnormal, and will determine that result is shown to image-display units.
Wherein, the pre-set image processes subelement and specifically includes with lower module:
Image scaling module, for for need shooting image to be processed or original image, scaling to be processed into pre- If size;
Gradation processing module, is connected with image scaling module, for the shooting image after scaling or original Image carries out gray proces, obtains the gray value of each pixel in the image, and calculates the acquisition shooting figure The average gray value of whole pixels, is then output to gray scale comparing unit in picture or original image;
Gray scale comparison module, is connected with gradation processing module, for by the gray value of each pixel with should Average gray value is compared, and more than or equal to the average gray value, is then recorded as binary one, and little In the average gray value, then Binary Zero is recorded as, and each comparative result is exported gives comparative result shape Into module;
Comparative result forms module, is connected with gray scale comparison module, for send gray scale comparison module All comparative results are combined, and obtain the default position of all pixels point in the shooting image or original image Several strings of binary characters.
The technical scheme that the present invention is provided from more than, compared with prior art, the invention provides one Detection method and its display terminal that display terminal image shows are planted, it can automatically to playing on display terminal The image of display is detected that quickly judge whether the image display function of display terminal is abnormal, raising is accurate Rate, participates in the overall process detection without the need for user, can save a large amount of valuable times of user, it is ensured that user is to showing The product use feeling of terminal, offers convenience to the work and life of user, is conducive to strengthening the life of user Quality, is of great practical significance.
Description of the drawings
The flow chart of the detection method that Fig. 1 shows for a kind of display terminal image that the present invention is provided;
A kind of structural representation of display terminal that Fig. 2 is provided for the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the accompanying drawings and embodiment party The present invention is described in further detail for formula.
Referring to Fig. 1, the invention provides the detection method that a kind of display terminal image shows, including following step Suddenly:
Step S101:Shoot the image that display terminal is showing;
Step S102:Shooting image to being obtained carries out pre-optimized process;
Step S103:By treated shooting image and the picture (image that i.e. display terminal is showing) Original image carry out image similarity comparison, judge that the image display function of the display terminal is whether abnormal, When image similarity is less than default Similarity value, the image display function exception of the display terminal is judged, And when image similarity is equal to or more than default Similarity value (explanation similarity is high, much like), judge The image display function of the display terminal is normal;The original image is before display terminal shows, to pass through The outer video signal that display terminal is received is decoded and is obtained;
Step S104:The judged result is shown in real time.
In the present invention, the display terminal can include that display and all-in-one etc. are any with picture The device of display function.
In the present invention, in step S101, implement, can be by being connected with display terminal Camera shooting the image that display terminal is showing, be then transferred to display terminal.
In the present invention, in step S101, implement, video signal decoder pair can be passed through The outer video signal that display terminal is received is decoded, and obtains the original image before display terminal shows. If the display terminal is television set, the external video that can be received display terminal by television decoder Signal is decoded, and obtains the original image before display terminal shows.
In the present invention, in step s 102, the shooting image to being obtained carries out the mesh of pre-optimized process Be to remove unrelated information in the shooting image, recover useful information, strengthen the accuracy that image compares, While maximized simplified data.
It should be noted that for the shooting image obtained captured by camera, can be due to image capture environment Difference, the such as quality of illumination bright-dark degree and equipment performance often there are noise, the noise meeting Identification to after is interfered, so needing first to pre-process picture, removes noise.For step S102, the pretreatment operation specifically can include:Remove noise processed.Implement, can pass through Gaussian filtering is being removed noise processed.
For the present invention, it should be noted that the present invention is based on the similarity compared between two width images come real Existing abnormality detection, if similarity is less than certain default threshold value, that is, thinks that the tested altimetric image is occurred in that It is abnormal.Similarity has various computational methods.The invention provides a kind of key technology is called " perceive hash algorithm " (Perceptual hash algorithm), the advantage of this algorithm is simple and quick, is not scaled by picture size Impact.First one is generated to every pictures " fingerprint " (fingerprint) character string is then more different The fingerprint of picture.As a result closer to just explanation picture is more similar.
In the present invention, step S103 specifically includes following sub-step:
Step S1031:The shooting image and original image are carried out respectively pre-set image process, is obtained respectively Obtain the string of binary characters of corresponding presetting digit capacity;
Step S1032:Compare the difference digit of the string of binary characters of the two image presetting digit capacities, if When difference digit accounts for the ratio of presetting digit capacity and is more than 1 with the default Similarity value sum, then image phase is judged Like degree less than default Similarity value, the image display function exception of the display terminal;, whereas if difference When digit accounts for the ratio of presetting digit capacity and is less than or equal to 1 with the default Similarity value sum, then figure is judged As similarity is equal to or more than default Similarity value, the image display function exception of the display terminal.
Implement, in order to carry out pre-set image process, step S1031 specifically includes following step Suddenly:
The first step:It is processed into default for image (shooting image or original image) to be processed, scaling is needed Size;
Second step:Then gray proces are carried out, the gray value of each pixel in the image is obtained;
3rd step:Obtain the average gray value of whole pixels in the image;
4th step:The gray value of each pixel is compared with the average gray value, is more than or equal to The average gray value, then be recorded as binary one, and is less than the average gray value, then be recorded as Binary Zero;
5th step:All comparative results are combined, finally obtain the image all pixels point two enter Character string (i.e. the image string of binary characters of itself) processed.
It should be noted that the effect of the first step is that (shooting image is original for removal need image to be processed Image) details, only retain the essential informations such as structure, light and shade, abandon the figure that different size, proportional band come Piece difference.
Implement, for example, for image (shooting image or original image) to be processed is needed, can contract The size for being processed into 8 × 8 is put, altogether 64 pixels.Then second step is run, by the picture after diminution Gray proces are carried out, switchs to 64 grades of gray scales, that is to say, that all pixels point only has 64 kinds of colors altogether. Then the 3rd step is run, the average gray of all 64 pixels is calculated.The 4th step is continued to run with, will be every The gray scale of individual pixel, is compared with average gray.More than or equal to average gray, 1 is recorded as, If being less than average gray, 0 is recorded as.5th step, the comparative result of the 4th step above is combined one Rise, the string of binary characters (being integer) of 64 is just constituted, here it is the fingerprint of this image. The order of combination is unimportant, as long as ensureing that all images all adopt same order.
It should be noted that after obtaining the fingerprint (string of binary characters) of shooting image and original image, Shooting image and original image can be just contrasted, looks at how many position is different in 64.In theory, This equates calculating " Hamming distance " (Hamming distance).If their fingerprint (binary-coded character String) data bit that differs illustrates that two images are much like less than 5, just;If greater than 10, just explanation This is two different images.
For the present invention, implement, for a user, in display terminals such as new purchase TVs, Need to detect whether the picture quality of TV is qualified when user's purchase display terminal such as TV, now can be with Selection plays one section of video such as film etc., same luck from the local input such as USB end on the display terminals such as TV The row present invention, opens self-checking function, and automatically the image to playing display on display terminal is detected, i.e., Can determine whether whether the image display function of display terminal is abnormal, and playing process participates in detecting without the need for user, waits User can be just allowed to see testing result after finishing.
Additionally, during user is using display terminals such as TVs, in display terminal processes such as viewing TVs In, the display terminal such as TV occurs in that abnormal picture, it is difficult to which judgement is input signal source such as Set Top Box, network Etc. the exception for causing, or the problem of TV itself, now user can connect camera to open TV etc. aobvious Show the image self-checking function of terminal, it is just problematic when illustrating that signal input is come in if can't detect exception, User can exclude the display terminals such as the TV problems of itself, check the problem of Set Top Box, network etc..
Therefore, understood based on the technical scheme of the invention described above offer, a kind of display terminal that the present invention is provided The detection method that image shows, it can be automatically to playing display image on display terminal detects, soon Speed judges that the image display function of display terminal is whether abnormal, raising accuracy rate, participates in the overall process inspection without the need for user Survey, a large amount of valuable times of user can be saved, it is ensured that product use feeling of the user to display terminal, give The work and life of user offers convenience, and is conducive to strengthening the quality of the life of user, with great production reality Trample meaning.
Referring to the detection method that Fig. 2, a kind of display terminal image provided based on the present invention described in Fig. 1 are shown, Present invention also offers a kind of display terminal, including:
Image capturing unit 201, for shooting the image that display terminal is showing;
Pretreatment unit 202, is connected with image capturing unit 201, for being obtained to image capturing unit The shooting image for obtaining carries out pre-optimized process;
Image decoding unit 203, for before display terminal shows, the external video that display terminal is received Signal is decoded and is obtained the original image of the picture (image that i.e. display terminal is showing);
Abnormality detecting unit 204, is connected respectively with pretreatment unit 202, image decoding unit 203, uses Obtain in the shooting image processed through the pretreatment unit 202 is decoded with described image decoding unit 203 The original image for obtaining carries out image similarity comparison, judges whether the image display function of the display terminal is different Often, when image similarity is less than default Similarity value, judge that the image display function of the display terminal is different Often, and when image similarity is equal to or more than default Similarity value (explanation similarity is high, much like), Judge that the image display function of the display terminal is normal, and will determine that result is shown to image-display units;
Image-display units 205, are connected with abnormality detecting unit 204, for receiving the abnormality detection The whether abnormal judged result of the image display function of the display terminal that unit is sent, and show in real time.
In the present invention, the display terminal can include that display and all-in-one etc. are any with picture The device of display function.Described image display unit can be the display terminal LCD display or LED display, or other kinds of display screen.
In the present invention, described image shooting unit 201 is specifically as follows camera, by with display terminal The camera being connected is then transferred to the pre- place of display terminal shooting the image that display terminal is showing Reason unit 203.
In the present invention, described image decoding unit 203 can be video signal decoder, implement, If the display terminal is television set, the external video that can be received display terminal by television decoder Signal is decoded, and obtains the original image before display terminal shows.
In the present invention, for pretreatment unit 202, the shooting image to being obtained carries out pre-optimized process Purpose be to remove unrelated information in the shooting image, recover useful information, strengthen the standard that image compares True property, while maximized simplified data.
It should be noted that for the shooting image obtained captured by camera, can be due to image capture environment Difference, the such as quality of illumination bright-dark degree and equipment performance often there are noise, the noise meeting Identification to after is interfered, so needing first to pre-process picture, removes noise.For pre- place Reason unit 202, the pretreatment operation specifically can include:Remove noise processed.Implement, can To be removed noise processed by gaussian filtering.
In the present invention, implement, the pretreatment unit 202 can be positioned at the display terminal Central processor CPU or single-chip microprocessor MCU on mainboard.
For the present invention, it should be noted that the present invention is based on the similarity compared between two width images come real Existing abnormality detection, if similarity is less than certain default threshold value, that is, thinks that the tested altimetric image is occurred in that It is abnormal.Similarity has various computational methods.The invention provides a kind of key technology is called " perceive hash algorithm " (Perceptual hash algorithm), the advantage of this algorithm is simple and quick, is not scaled by picture size Impact.First one is generated to every pictures " fingerprint " (fingerprint) character string is then more different The fingerprint of picture.As a result closer to just explanation picture is more similar.
In the present invention, implement, the abnormality detecting unit 204 can be to show eventually positioned at described Central processing unit DSP or single-chip microprocessor MCU on the mainboard of end.
In the present invention, the abnormality detecting unit 204 specifically includes following subelement:
Pre-set image processes subelement, for the shooting image and original image to be carried out respectively pre-set image Process, the string of binary characters of corresponding presetting digit capacity is obtained respectively;
Image comparing subunit, for comparing the difference position of the string of binary characters of the two image presetting digit capacities Number, if difference digit accounts for the ratio of presetting digit capacity when being more than 1 with the default Similarity value sum, sentences Disconnected image similarity is less than default Similarity value, the image display function exception of the display terminal;Conversely, If difference digit accounts for the ratio of presetting digit capacity when being less than or equal to 1 with the default Similarity value sum, Then judge that image similarity is equal to or more than default Similarity value, the image display function of the display terminal It is abnormal, and will determine that result is shown to image-display units.
In the present invention, the pre-set image processes subelement and image comparing subunit can be in one Central processor DSP or single-chip microprocessor MCU.
Implement, the pre-set image processes subelement and specifically includes with lower module:
Image scaling module, for for needing image (shooting image or original image) to be processed, at scaling Manage into default size;
Gradation processing module, is connected with image scaling module, for carrying out at gray scale to the image after scaling Reason, obtains the gray value of each pixel in the image, and calculates and obtain the flat of whole pixels in the image Gray value, is then output to gray scale comparing unit;
Gray scale comparison module, is connected with gradation processing module, for by the gray value of each pixel with should Average gray value is compared, and more than or equal to the average gray value, is then recorded as binary one, and little In the average gray value, then Binary Zero is recorded as, and each comparative result is exported gives comparative result shape Into module;
Comparative result forms module, is connected with gray scale comparison module, for send gray scale comparison module All comparative results are combined, and the string of binary characters for finally obtaining the image all pixels point (i.e. should The string of binary characters of image itself).
It should be noted that the effect of the image scaling module is to remove to need image (shooting image to be processed Or original image) details, only retain the essential informations such as structure, light and shade, abandon different size, proportional band The picture difference come.
Implement, for example, for image (shooting image or original image) to be processed is needed, can contract The size for being processed into 8 × 8 is put, altogether 64 pixels.Then gradation processing module is run, after diminution Picture carry out gray proces, switch to 64 grades of gray scales, that is to say, that only 64 kinds altogether of all pixels point Color, and calculate the average gray of all 64 pixels.Gray scale comparison module is continued to run with, by each The gray scale of pixel, is compared with average gray.More than or equal to average gray, 1 is recorded as, If being less than average gray, 0 is recorded as.Then running and comparing result forms module, gray scale will compare above The comparative result of module, combines, and just constitutes the string of binary characters (being integer) of 64, Here it is the fingerprint of this image.The order of combination is unimportant, as long as ensureing all images all using same Order just.
It should be noted that after obtaining the fingerprint (string of binary characters) of shooting image and original image, Shooting image and original image can be just contrasted, looks at how many position is different in 64.In theory, This equates calculating " Hamming distance " (Hamming distance).If their fingerprint (binary-coded character String) data bit that differs illustrates that two images are much like less than 5, just;If greater than 10, just explanation This is two different images.
For the present invention, implement, for a user, in display terminals such as new purchase TVs, Need to detect whether the picture quality of TV is qualified when user's purchase display terminal such as TV, now can be with Selection plays one section of video such as film etc., same luck from the local input such as USB end on the display terminals such as TV The row present invention, opens self-checking function, and automatically the image to playing display on display terminal is detected, i.e., Can determine whether whether the image display function of display terminal is abnormal, and playing process participates in detecting without the need for user, waits User can be just allowed to see testing result after finishing.
Additionally, during user is using display terminals such as TVs, in display terminal processes such as viewing TVs In, the display terminal such as TV occurs in that abnormal picture, it is difficult to which judgement is input signal source such as Set Top Box, network Etc. the exception for causing, or the problem of TV itself, now user can connect camera to open TV etc. aobvious Show the image self-checking function of terminal, it is just problematic when illustrating that signal input is come in if can't detect exception, User can exclude the display terminals such as the TV problems of itself, check the problem of Set Top Box, network etc..
In sum, compared with prior art, the invention provides a kind of inspection that shows of display terminal image Survey method and its display terminal, it can be automatically to playing display image on display terminal detects, soon Speed judges that the image display function of display terminal is whether abnormal, raising accuracy rate, participates in the overall process inspection without the need for user Survey, a large amount of valuable times of user can be saved, it is ensured that product use feeling of the user to display terminal, give The work and life of user offers convenience, and is conducive to strengthening the quality of the life of user, with great production reality Trample meaning.
The above is only the preferred embodiment of the present invention, it is noted that common for the art For technical staff, under the premise without departing from the principles of the invention, some improvements and modifications can also be made, These improvements and modifications also should be regarded as protection scope of the present invention.

Claims (10)

1. the detection method that a kind of display terminal image shows, it is characterised in that comprise the following steps:
The first step:Shoot the image that display terminal is showing;
Second step:Shooting image to being obtained carries out pre-optimized process;
3rd step:The original image of treated shooting image and the shooting image is carried out into image similarity Relatively, judge whether the image display function of the display terminal is abnormal;The original image is to show eventually Before end shows, decoded by the outer video signal for receiving display terminal and obtained;
4th step:The judged result is shown in real time.
2. the method for claim 1, it is characterised in that in second step, it is described to being obtained The pre-optimized of shooting image processes operation and is specially:Remove noise processed.
3. the method for claim 1, it is characterised in that in the third step, when image similarity it is low When default Similarity value, the image display function exception of the display terminal is judged, and work as image similarity During equal to or more than default Similarity value, judge that the image display function of the display terminal is normal.
4. method as claimed any one in claims 1 to 3, it is characterised in that the 3rd step is concrete Including following sub-step:
A) shooting image and original image are carried out respectively pre-set image process, obtains corresponding pre- respectively If the string of binary characters of digit;
B the difference digit of the string of binary characters of the two image presetting digit capacities) is compared, if difference digit is accounted for When the ratio of presetting digit capacity is more than 1 with the default Similarity value sum, then judge image similarity less than pre- If Similarity value, the image display function exception of the display terminal;, whereas if difference digit accounts for default When the ratio of digit is less than or equal to 1 with the default Similarity value sum, then image similarity etc. is judged In or more than default Similarity value, the image display function exception of the display terminal.
5. method as claimed in claim 4, it is characterised in that step A) comprise the following steps:
Default size is processed into for shooting image to be processed or original image, scaling is needed;
Then gray proces are carried out, the gray value of each pixel in the shooting image or original image is obtained;
Obtain the average gray value of whole pixels in the shooting image or original image;
The gray value of each pixel is compared with the average gray value, more than or equal to the average ash Angle value, then be recorded as binary one, and is less than the average gray value, then be recorded as Binary Zero;
All comparative results are combined, final shooting image or the original image all pixels point of obtaining String of binary characters.
6. a kind of display terminal, it is characterised in that include:
Image capturing unit, for shooting the image that display terminal is showing;
Pretreatment unit, is connected with image capturing unit, for the shooting obtained to image capturing unit Image carries out pre-optimized process;
Image decoding unit, for before display terminal shows, the outer video signal that display terminal is received Decoded and obtained the original image of the shooting image;
Abnormality detecting unit, is connected respectively with pretreatment unit, image decoding unit, for will be through institute The shooting image and described image decoding unit for stating pretreatment unit process decodes the original image for obtaining and carries out figure As similarity-rough set, whether extremely judge the image display function of the display terminal, when image similarity it is low When default Similarity value, the image display function exception of the display terminal is judged, and work as image similarity During equal to or more than default Similarity value, judge that the image display function of the display terminal is normal, and will Judgment result displays are to image-display units;
Image-display units, are connected with abnormality detecting unit, send for receiving the abnormality detecting unit The display terminal the whether abnormal judged result of image display function, and show in real time.
7. display terminal as claimed in claim 6, it is characterised in that described image shooting unit is shooting Head, described image decoding unit is video signal decoder.
8. display terminal as claimed in claim 6, it is characterised in that the pretreatment unit is used for figure As the shooting image that shooting unit is obtained is removed noise processed.
9. the display terminal as any one of claim 6 to 8, it is characterised in that the abnormal inspection Survey unit and specifically include following subelement:
Pre-set image processes subelement, for the shooting image and original image to be carried out respectively pre-set image Process, the string of binary characters of corresponding presetting digit capacity is obtained respectively;
Image comparing subunit, for comparing the difference position of the string of binary characters of the two image presetting digit capacities Number, if difference digit accounts for the ratio of presetting digit capacity when being more than 1 with the default Similarity value sum, sentences Disconnected image similarity is less than default Similarity value, the image display function exception of the display terminal;Conversely, If difference digit accounts for the ratio of presetting digit capacity when being less than or equal to 1 with the default Similarity value sum, Then judge that image similarity is equal to or more than default Similarity value, the image display function of the display terminal It is abnormal, and will determine that result is shown to image-display units.
10. display terminal as claimed in claim 9, it is characterised in that it is single that the pre-set image processes son Unit is specifically included with lower module:
Image scaling module, for for need shooting image to be processed or original image, scaling to be processed into pre- If size;
Gradation processing module, is connected with image scaling module, for the shooting image after scaling or original Image carries out gray proces, obtains the gray value of each pixel in the image, and calculates the acquisition shooting figure The average gray value of whole pixels, is then output to gray scale comparing unit in picture or original image;
Gray scale comparison module, is connected with gradation processing module, for by the gray value of each pixel with should Average gray value is compared, and more than or equal to the average gray value, is then recorded as binary one, and is less than The average gray value, then be recorded as Binary Zero, and each comparative result is exported form mould to comparative result Block;
Comparative result forms module, is connected with gray scale comparison module, for send gray scale comparison module All comparative results are combined, and obtain the default position of all pixels point in the shooting image or original image Several strings of binary characters.
CN201510767759.7A 2015-11-11 2015-11-11 Display terminal image display detection method and display terminal Pending CN106686372A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510767759.7A CN106686372A (en) 2015-11-11 2015-11-11 Display terminal image display detection method and display terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510767759.7A CN106686372A (en) 2015-11-11 2015-11-11 Display terminal image display detection method and display terminal

Publications (1)

Publication Number Publication Date
CN106686372A true CN106686372A (en) 2017-05-17

Family

ID=58865510

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510767759.7A Pending CN106686372A (en) 2015-11-11 2015-11-11 Display terminal image display detection method and display terminal

Country Status (1)

Country Link
CN (1) CN106686372A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107395920A (en) * 2017-06-06 2017-11-24 捷开通讯(深圳)有限公司 A kind of control method for playing multimedia, terminal and storage medium
CN107547888A (en) * 2017-08-17 2018-01-05 深圳市乐视环球科技有限公司 The equipment and method whether a kind of automatic decision movie playback terminates
CN110308182A (en) * 2019-07-17 2019-10-08 西安奕斯伟硅片技术有限公司 Wafer defect detection method and device
CN110533463A (en) * 2019-08-16 2019-12-03 深圳供电局有限公司 A kind of background management system and back-stage management method of catch-phrase screen
CN110891173A (en) * 2019-06-27 2020-03-17 研祥智能科技股份有限公司 Dynamic image detection method and system
CN111613160A (en) * 2020-04-02 2020-09-01 深圳益实科技有限公司 Method and system for judging display fault of LCD display screen
CN111665649A (en) * 2020-05-26 2020-09-15 Tcl华星光电技术有限公司 Detection method for testing screen abnormity
CN111953962A (en) * 2020-07-13 2020-11-17 西安万像电子科技有限公司 Monitoring method and system
CN113034431A (en) * 2018-11-28 2021-06-25 成都天衡智造科技有限公司 Equipment use state online monitoring method, system, storage medium and terminal
CN113204455A (en) * 2021-05-06 2021-08-03 广州朗国电子科技有限公司 Method, equipment and storage medium for automatically detecting user interface display abnormity
CN113467743A (en) * 2021-09-03 2021-10-01 广州朗国电子科技股份有限公司 Method and device for automatically detecting and configuring single channel and double channels of display screen
CN114638831A (en) * 2022-05-18 2022-06-17 合肥宏晶半导体科技有限公司 Image analysis method and device
CN115049650A (en) * 2022-08-12 2022-09-13 深圳凯升联合科技有限公司 Electrical equipment leakage detection method based on image processing

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020164083A1 (en) * 1999-12-18 2002-11-07 Song Woo Jin Apparatus and method for correcting distortion of image and image displayer using the same
CN1801433A (en) * 2006-01-11 2006-07-12 彩虹集团电子股份有限公司 Plasma display screen fault checking method
WO2010024303A1 (en) * 2008-08-26 2010-03-04 シャープ株式会社 Defect detecting apparatus, defect detecting method, defect detecting program, and computer-readable recording medium in which that program has been recorded
CN103024434A (en) * 2012-12-20 2013-04-03 广州视源电子科技股份有限公司 Automatic test system based on image matching
CN103150557A (en) * 2013-02-26 2013-06-12 北京航空航天大学 Machine vision-based display terminal operation response matching detection device
CN103618892A (en) * 2013-12-02 2014-03-05 广州创维平面显示科技有限公司 Method for detecting television and television
CN104243978A (en) * 2014-09-26 2014-12-24 广东威创视讯科技股份有限公司 Image anomaly detection device and method
CN104349159A (en) * 2013-08-05 2015-02-11 鸿富锦精密工业(深圳)有限公司 Screen test system and method
CN104360501A (en) * 2014-10-15 2015-02-18 西安交通大学 Visual detection method and device for defects of liquid crystal display screen
CN104391797A (en) * 2014-12-09 2015-03-04 北京奇虎科技有限公司 GUI (graphical user interface) widget identification method and device
CN104732900A (en) * 2013-12-20 2015-06-24 昆山国显光电有限公司 Pixel defect detection method and device

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020164083A1 (en) * 1999-12-18 2002-11-07 Song Woo Jin Apparatus and method for correcting distortion of image and image displayer using the same
CN1801433A (en) * 2006-01-11 2006-07-12 彩虹集团电子股份有限公司 Plasma display screen fault checking method
WO2010024303A1 (en) * 2008-08-26 2010-03-04 シャープ株式会社 Defect detecting apparatus, defect detecting method, defect detecting program, and computer-readable recording medium in which that program has been recorded
CN103024434A (en) * 2012-12-20 2013-04-03 广州视源电子科技股份有限公司 Automatic test system based on image matching
CN103150557A (en) * 2013-02-26 2013-06-12 北京航空航天大学 Machine vision-based display terminal operation response matching detection device
CN104349159A (en) * 2013-08-05 2015-02-11 鸿富锦精密工业(深圳)有限公司 Screen test system and method
CN103618892A (en) * 2013-12-02 2014-03-05 广州创维平面显示科技有限公司 Method for detecting television and television
CN104732900A (en) * 2013-12-20 2015-06-24 昆山国显光电有限公司 Pixel defect detection method and device
CN104243978A (en) * 2014-09-26 2014-12-24 广东威创视讯科技股份有限公司 Image anomaly detection device and method
CN104360501A (en) * 2014-10-15 2015-02-18 西安交通大学 Visual detection method and device for defects of liquid crystal display screen
CN104391797A (en) * 2014-12-09 2015-03-04 北京奇虎科技有限公司 GUI (graphical user interface) widget identification method and device

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107395920A (en) * 2017-06-06 2017-11-24 捷开通讯(深圳)有限公司 A kind of control method for playing multimedia, terminal and storage medium
CN107547888A (en) * 2017-08-17 2018-01-05 深圳市乐视环球科技有限公司 The equipment and method whether a kind of automatic decision movie playback terminates
CN107547888B (en) * 2017-08-17 2021-10-29 深圳市乐视环球科技有限公司 Equipment and method for automatically judging whether playing of film is finished
CN113034431A (en) * 2018-11-28 2021-06-25 成都天衡智造科技有限公司 Equipment use state online monitoring method, system, storage medium and terminal
CN113034431B (en) * 2018-11-28 2022-06-17 成都天衡智造科技有限公司 Equipment use state online monitoring method, system, storage medium and terminal
CN110891173A (en) * 2019-06-27 2020-03-17 研祥智能科技股份有限公司 Dynamic image detection method and system
WO2020259046A1 (en) * 2019-06-27 2020-12-30 研祥智能科技股份有限公司 Dynamic image-based test method and system
CN110308182A (en) * 2019-07-17 2019-10-08 西安奕斯伟硅片技术有限公司 Wafer defect detection method and device
CN110533463A (en) * 2019-08-16 2019-12-03 深圳供电局有限公司 A kind of background management system and back-stage management method of catch-phrase screen
CN111613160A (en) * 2020-04-02 2020-09-01 深圳益实科技有限公司 Method and system for judging display fault of LCD display screen
CN111665649A (en) * 2020-05-26 2020-09-15 Tcl华星光电技术有限公司 Detection method for testing screen abnormity
CN111953962A (en) * 2020-07-13 2020-11-17 西安万像电子科技有限公司 Monitoring method and system
CN113204455A (en) * 2021-05-06 2021-08-03 广州朗国电子科技有限公司 Method, equipment and storage medium for automatically detecting user interface display abnormity
CN113467743A (en) * 2021-09-03 2021-10-01 广州朗国电子科技股份有限公司 Method and device for automatically detecting and configuring single channel and double channels of display screen
CN114638831A (en) * 2022-05-18 2022-06-17 合肥宏晶半导体科技有限公司 Image analysis method and device
CN114638831B (en) * 2022-05-18 2022-10-21 合肥宏晶半导体科技有限公司 Image analysis method and device
CN115049650A (en) * 2022-08-12 2022-09-13 深圳凯升联合科技有限公司 Electrical equipment leakage detection method based on image processing
CN115049650B (en) * 2022-08-12 2023-08-01 深圳凯升联合科技有限公司 Electrical equipment leakage detection method based on image processing

Similar Documents

Publication Publication Date Title
CN106686372A (en) Display terminal image display detection method and display terminal
CN108322788B (en) Advertisement display method and device in live video
CN108846365B (en) Detection method and device for fighting behavior in video, storage medium and processor
CN106951346B (en) Response time testing method and device
CN111091109B (en) Method, system and equipment for predicting age and gender based on face image
CN107621932B (en) Local amplification method and device for display image
CN108012202B (en) Video concentration method, device, computer readable storage medium and computer device
TW201133358A (en) System and method for detecting objects in a video image
CN104618803A (en) Information push method, information push device, terminal and server
CN103873852A (en) Multi-mode parallel video quality fault detection method and device
CN102724449A (en) Interactive TV and method for realizing interaction with user by utilizing display device
Su et al. A novel forgery detection algorithm for video foreground removal
CN105718861A (en) Method and device for identifying video streaming data category
CN108346394A (en) Method, electronic device and the computer readable storage medium of eyeshield pattern are opened in control
CN112153373A (en) Fault identification method and device for bright kitchen range equipment and storage medium
CN103618892A (en) Method for detecting television and television
CN115620241B (en) Image processing-based field safety measure identification method and device
CN105844638A (en) Method and system for discriminating genuine or counterfeit photos through camera noise
US20230156161A1 (en) Failure identification and handling method, and system
US20230166157A1 (en) Electronic apparatus and control method therefor
Edstrom et al. Luminance-adaptive smart video storage system
CN106792163A (en) The detection method and device of a kind of video broadcasting condition
CN112822393B (en) Image processing method and device and electronic equipment
CN114222110A (en) Method and device for detecting video flicker degree
CN110232011B (en) Method and device for testing performance of terminal equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20170517

RJ01 Rejection of invention patent application after publication