CN104243978A - Image anomaly detection device and method - Google Patents
Image anomaly detection device and method Download PDFInfo
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- CN104243978A CN104243978A CN201410503481.8A CN201410503481A CN104243978A CN 104243978 A CN104243978 A CN 104243978A CN 201410503481 A CN201410503481 A CN 201410503481A CN 104243978 A CN104243978 A CN 104243978A
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Abstract
The invention discloses an image anomaly detection device and method. The device comprises an acquisition module and a comparison module; the acquisition module is used for synchronously acquiring image frames which a display terminal under detection displays; resolution of the acquisition module is greater than that of the display terminal; the comparison module is used for comparing the acquired image frames to a preset reference frame and judging whether or not anomalies occur to the acquired image frames according to comparison results. The image anomaly detection device and method has the advantages that quality of an image displayed on the display terminal is automatically tested so that detection labor is greatly relieved; testing results are more accurate, and chances that missing image anomalies occur in testing are slimmed; testing is simple, safe and reliable, and defects of a manual testing method are made up.
Description
Technical field
The present invention relates to technical field of image detection, particularly relate to a kind of image error detection device and method.
Background technology
Field of image detection usually need to display terminal display picture quality test, and in the process of display terminal inter-process or image signal transmission due to view data settling time or retention time do not meet time, display terminal there will be noise.Tester will find image abnormity situation by naked eyes, and stare at screen so on the one hand for a long time very large to the infringement of human eye, accuracy rate is lower on the other hand, may occur test leakage, affect product quality.
Summary of the invention
Based on above-mentioned situation, the present invention proposes a kind of image error detection device, automatically the picture quality of display terminal display is tested, greatly alleviate testing amount; Accuracy rate is high, compensate for the deficiency of manual testing's mode.
To achieve these goals, the embodiment of technical solution of the present invention is:
A kind of image error detection device, comprising:
Acquisition module, be detected the picture frame of display terminal display for synchronous acquisition, the resolution of described acquisition module is greater than the display resolution of described display terminal;
Comparing module, for the picture frame collected and preset reference frame being compared, judges to have in the picture frame collected without exception according to comparison result.
For prior art problem, the invention allows for a kind of image abnormity detection method, when test pattern display is abnormal, reduces tester in test process and search the workload of abnormal conditions in image, reduce the probability of image abnormity situation test leakage.
The embodiment of technical solution of the present invention is:
A kind of image abnormity detection method, comprises the following steps:
Synchronous acquisition is detected the picture frame of display terminal display;
The picture frame collected and preset reference frame are compared, judges according to comparison result to have in the picture frame collected without exception.
Compared with prior art, beneficial effect of the present invention is: image error detection device of the present invention and method, automatically tests the picture quality of display terminal display, greatly alleviates testing amount; Improve test result accuracy, reduce the probability of image abnormity situation test leakage; Test simple, safe and reliable, compensate for the deficiency of manual testing's mode.
Accompanying drawing explanation
Fig. 1 is image error detection device structural representation in an embodiment;
Fig. 2 is based on image error detection device structural representation in Fig. 1 shown device concrete example;
Fig. 3 is image abnormity detection method flow chart in an embodiment.
Embodiment
For making object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is described in further detail.Should be appreciated that embodiment described herein only in order to explain the present invention, do not limit protection scope of the present invention.
Image error detection device in an embodiment, as shown in Figure 1, comprising:
Acquisition module, be detected the picture frame of display terminal display for synchronous acquisition, the resolution of described acquisition module is greater than the display resolution of described display terminal;
Comparing module, for the picture frame collected and preset reference frame being compared, judges to have in the picture frame collected without exception according to comparison result.
As shown in Figure 1, first acquisition module synchronous acquisition is detected continuous multiple picture frame of display terminal display, and then the picture frame collected and preset reference frame are compared by comparing module, judges to have in the picture frame collected without exception according to comparison result.
Known from the above description, image error detection device of the present invention, tests automatically, greatly alleviates testing amount; Accuracy rate is high, compensate for the deficiency of manual testing's mode, is applicable to application.
As an embodiment, described comparing module comprises:
Comparing unit, for the pixel value that the calculates preset reference frame corresponding pixel points respectively difference with the pixel value of the picture frame corresponding pixel points collected, and each difference obtained is compared with preset difference value threshold value respectively, and when identifying unit judges have abnormal in the picture frame collected, stop the difference of pixel value and the pixel value of the picture frame residual pixel point collected calculating described preset reference frame residual pixel point;
Described identifying unit, during for being more than or equal to described preset difference value threshold value when any one difference obtained, judges there is exception in the picture frame collected;
Automatically detecting has without exception in the picture frame collected, fast, accurately, abundant practical requirement, using value is high.
As an embodiment, also comprise picture frame display module, for showing the picture frame that described acquisition module collects; Tester, by observing the picture frame of picture frame display module display, corrects the position of acquisition module, enables acquisition module collect the picture frame in the maximum territory, effective display area of detected display terminal.
As an embodiment, also comprise abnormal frame memory module, during for judging have abnormal in the picture frame collected in described comparing module, store abnormal picture frame, facilitate tester to check, understand the abnormal conditions of acquired image frames, be conducive to carrying out respective handling in time, realistic.
As an embodiment, also comprise abnormal frame number display section, during for judging have abnormal in the picture frame collected in described comparing module, recording the quantity of abnormal picture frame and showing, be convenient to the abnormal probability occurred of tester's statistical picture, be applicable to application.
In order to understand this method better, below elaborate the application example of an image error detection device of the present invention.
As shown in Figure 2, this application example can comprise:
CCD (Charge-coupled Device, charge coupled cell), be detected continuous multiple picture frame of display terminal display for synchronous acquisition, the resolution of CCD is greater than the display resolution of display terminal;
LCD MODULE, for showing the picture frame that CCD collects; Tester corrects CCD position by the picture frame of display, enables CCD collect the picture frame in the maximum territory, effective display area of detected display terminal;
SD card (Secure Digital Memory Card, safe digital card), for when the picture frame gathered occurs abnormal, stores abnormal picture frame with the form of picture;
Charactron, for when the picture frame gathered occurs abnormal, shows the quantity of abnormal picture frame;
Reference frame selecting device, choosing instruction for receiving reference frame, choosing reference frame according to this instruction;
Synchronizing signal Interface Terminal, for outputting to display terminal by synchronizing signal;
FPGA (Field-Programmable Gate Array, field programmable gate array), comprise synchronizing signal generation module, LCD interface module, reference frame cache module, caching frame 1, caching frame 2, comparing module, abnormal frame accumulation module and memory interface module;
Wherein synchronizing signal generation module produces synchronizing signal, by synchronizing signal Interface Terminal, synchronizing signal is outputted to display terminal, makes CCD frequency acquisition synchronous with the display frequency of display terminal;
LCD interface module is for driving LCD MODULE, and the picture frame collected by CCD outputs in real time in LCD MODULE and shows;
Reference frame cache module, caching frame 1, caching frame 2 are by DDR (the Double Data Rate on FPGA, Double Data Rate synchronous DRAM) realize, when reference frame selecting device receive reference frame choose instruction time, the picture frame collected by CCD is written in reference frame cache module, when reference frame selecting device do not receive reference frame choose instruction time, the picture frame collected by CCD is alternately written in caching frame 1 and caching frame 2, prevents the picture frame of new write from overriding old picture frame;
Comparing module reads the picture frame in reference frame cache module and caching frame 1 (2) simultaneously, the difference of the pixel value of the picture frame corresponding pixel points respectively in the pixel value of Calculation Basis frame corresponding pixel points and caching frame 1 (2), and each difference obtained is compared with preset difference value threshold value respectively, when any one difference obtained exceedes this preset difference value threshold value, judge there is exception in the picture frame in caching frame 1 (2), and stop the difference of the pixel value of the picture frame residual pixel point in the pixel value of Calculation Basis frame residual pixel point and caching frame 1 (2),
Abnormal frame accumulation module, for when having abnormal in the picture frame that comparing module judges in caching frame 1 (2), recording the quantity of abnormal picture frame, and showing on charactron;
Memory interface module, for when having abnormal in the picture frame that comparing module judges in caching frame 1 (2), is written to SD card by there being abnormal picture frame.
This application example image abnormal detector detects automatically, reduces tester in test process and searches the workload of image abnormity situation, reduce the probability of image abnormity test leakage; SD card stores abnormal picture frame with graphic form, and numeral method has abnormal image frames numbers, is convenient to tester by checking that the probability gathering image and occurred what abnormal conditions and the abnormal appearance of statistical picture understood by abnormal picture.
Image abnormity detection method in an embodiment, as shown in Figure 3, comprises the following steps:
Step S301: synchronous acquisition is detected the picture frame of display terminal display;
Step S302: the picture frame collected and preset reference frame are compared, judges to have in the picture frame collected without exception according to comparison result.
Known from the above description, image abnormity detection method of the present invention, when test pattern display is abnormal, reduces tester in test process and searches the workload of abnormal conditions in image, reduce the probability of image abnormity test leakage.
As an embodiment, described the picture frame collected and preset reference frame to be compared, judge have N/R step to comprise in the picture frame collected according to comparison result:
Calculate the pixel value of preset reference frame corresponding pixel points and the difference of the pixel value of the picture frame corresponding pixel points collected respectively, and each difference obtained is compared with preset difference value threshold value respectively;
When any one difference obtained is more than or equal to described preset difference value threshold value, judge there is exception in the picture frame collected, and stop the difference of pixel value and the pixel value of the picture frame residual pixel point collected calculating described preset reference frame residual pixel point;
Automatically detecting has without exception in the picture frame collected, fast, accurately, abundant practical requirement, using value is high.
As an embodiment, described synchronous acquisition be detected display terminal display picture frame after, described the picture frame collected and preset reference frame are compared before, also comprise step:
Show the picture frame collected; Tester, by observing the picture frame of display, collects the picture frame in the maximum territory, effective display area of detected display terminal further, makes subsequent treatment result more accurate.
As an embodiment, after having extremely in the picture frame that described judgement collects, also comprise step:
Store abnormal picture frame, facilitate tester to check, understand the abnormal conditions of acquired image frames, be conducive to carrying out respective handling in time, realistic.
As an embodiment, after having extremely in the picture frame that described judgement collects, also comprise step:
Record the quantity of abnormal picture frame and show, being convenient to the abnormal probability occurred of tester's statistical picture, being applicable to application.
The above embodiment only have expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an image error detection device, is characterized in that, comprising:
Acquisition module, be detected the picture frame of display terminal display for synchronous acquisition, the resolution of described acquisition module is greater than the display resolution of described display terminal;
Comparing module, for the picture frame collected and preset reference frame being compared, judges to have in the picture frame collected without exception according to comparison result.
2. image error detection device according to claim 1, is characterized in that, described comparing module comprises:
Comparing unit, for the pixel value that the calculates preset reference frame corresponding pixel points respectively difference with the pixel value of the picture frame corresponding pixel points collected, and each difference obtained is compared with preset difference value threshold value respectively, and when identifying unit judges have abnormal in the picture frame collected, stop the difference of pixel value and the pixel value of the picture frame residual pixel point collected calculating described preset reference frame residual pixel point;
Described identifying unit, during for being more than or equal to described preset difference value threshold value when any one difference obtained, judges there is exception in the picture frame collected.
3. image error detection device according to claim 1 and 2, is characterized in that, also comprises picture frame display module, for showing the picture frame that described acquisition module collects.
4. image error detection device according to claim 2, is characterized in that, also comprises abnormal frame memory module, during for judging have abnormal in the picture frame collected in described comparing module, stores abnormal picture frame.
5. the image error detection device according to claim 2 or 4, it is characterized in that, also comprise abnormal frame number display section, during for judging have abnormal in the picture frame collected in described comparing module, recording the quantity of abnormal picture frame and showing.
6. an image abnormity detection method, is characterized in that, comprises the following steps:
Synchronous acquisition is detected the picture frame of display terminal display;
The picture frame collected and preset reference frame are compared, judges according to comparison result to have in the picture frame collected without exception.
7. image abnormity detection method according to claim 6, is characterized in that, describedly the picture frame collected and preset reference frame is compared, and judges have N/R step to comprise in the picture frame collected according to comparison result:
Calculate the pixel value of preset reference frame corresponding pixel points and the difference of the pixel value of the picture frame corresponding pixel points collected respectively, and each difference obtained is compared with preset difference value threshold value respectively;
When any one difference obtained is more than or equal to described preset difference value threshold value, judge there is exception in the picture frame collected, and stop the difference of pixel value and the pixel value of the picture frame residual pixel point collected calculating described preset reference frame residual pixel point.
8. the image abnormity detection method according to claim 6 or 7, is characterized in that, described synchronous acquisition be detected display terminal display picture frame after, described the picture frame collected and preset reference frame are compared before, also comprise step:
Show the picture frame collected.
9. image abnormity detection method according to claim 7, is characterized in that, after having extremely, also comprises step in the picture frame that described judgement collects:
Store abnormal picture frame.
10. the image abnormity detection method according to claim 7 or 9, is characterized in that, after having extremely, also comprises step in the picture frame that described judgement collects:
Record the quantity of abnormal picture frame and show.
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| CN104661022A (en) * | 2015-03-04 | 2015-05-27 | 广东威创视讯科技股份有限公司 | Multi-signal-channel automatic detection system and method |
| CN104902223A (en) * | 2015-04-17 | 2015-09-09 | 国家电网公司 | Fault monitoring system of power line |
| CN106354606A (en) * | 2016-09-20 | 2017-01-25 | 网易（杭州）网络有限公司 | Application program exception handling method and device |
| CN106686372A (en) * | 2015-11-11 | 2017-05-17 | 天津三星电子有限公司 | Display terminal image display detection method and display terminal |
| CN107888912A (en) * | 2017-11-22 | 2018-04-06 | 深圳创维－Rgb电子有限公司 | The abnormal recognition methods of display screen display and system |
| CN109618149A (en) * | 2018-12-10 | 2019-04-12 | 北京旷视科技有限公司 | Test method, device and the smart machine of equipment image quality |
| CN111105392A (en) * | 2019-11-25 | 2020-05-05 | 紫光展讯通信(惠州)有限公司 | Display performance testing method and device and storage medium |
| CN111601105A (en) * | 2020-06-01 | 2020-08-28 | 上海申际轨道交通设备发展有限公司 | Video display state abnormity detection method and device and electronic equipment |
| 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 |
| CN111953962A (en) * | 2020-07-13 | 2020-11-17 | 西安万像电子科技有限公司 | Monitoring method and system |
| CN112109549A (en) * | 2020-08-25 | 2020-12-22 | 惠州华阳通用电子有限公司 | Instrument display method and system |
| CN113676722A (en) * | 2021-07-21 | 2021-11-19 | 南京巨鲨显示科技有限公司 | Video equipment image frame testing method and time delay measuring method |
| 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 |
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| CN111105392B (en) * | 2019-11-25 | 2022-12-06 | 紫光展讯通信(惠州)有限公司 | Display performance testing method and device and storage medium |
| 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 |
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| CN111953962A (en) * | 2020-07-13 | 2020-11-17 | 西安万像电子科技有限公司 | Monitoring method and system |
| CN112109549A (en) * | 2020-08-25 | 2020-12-22 | 惠州华阳通用电子有限公司 | Instrument display method and system |
| CN113676722A (en) * | 2021-07-21 | 2021-11-19 | 南京巨鲨显示科技有限公司 | Video equipment image frame testing method and time delay measuring method |
| 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 |
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