CN113112448A - Display picture detection method and storage medium - Google Patents
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Abstract
The invention relates to the technical field of image transmission, and provides a display picture detection method and a storage medium, wherein based on the inherent characteristics that a vehicle model is added in the later period and the pixel characteristics are constant in a panoramic image splicing strategy, a vehicle model position area in a normally displayed panoramic picture is collected as a display template and is compared and matched with display data in a current picture to be detected, and whether the picture to be detected is interfered and abnormal in the transmission process can be judged according to a comparison result, so that the abnormal identification efficiency of the panoramic picture is improved; when the abnormal picture is detected, the system bottom layer software and the application software are informed to perform abnormal operation processing, corresponding schemes of error correction, restarting and the like can be executed in time, and then smooth and clear video images are output.
Description
Technical Field
The present invention relates to the field of image transmission technologies, and in particular, to a display screen detection method and a storage medium.
Background
The 360-degree panoramic function of the vehicle-mounted IVI (in-vehicle information entertainment system) can splice video pictures shot by multiple cameras arranged on a vehicle body through an algorithm to help a driver to know the surrounding environment of the vehicle body. The panorama function is to achieve the object of intuition, and usually will display a vehicle model picture at a fixed position on the panorama picture, and its implementation is: the panoramic function splices input multi-path camera videos, adds a vehicle model picture in the middle of a picture to be synthesized, outputs the synthesized video through a coding chip, transmits the synthesized video to a vehicle-mounted IVI video processing chip (generally an SoC system chip) in a mode of 'connector assembly + wiring harness', and outputs the synthesized video to a display screen for display after format conversion.
In the transmission process of the video synthesized by the panoramic function, if the video signal is interfered, the terminal generates an abnormal picture. Therefore, to solve the signal interference problem, the existing video transmission interference detection method is as follows:
1) identifying certain video coding characteristics through a video input decoding chip in the vehicle-mounted IVI, monitoring and identifying when an interfered video signal triggers the characteristics, and then informing a system to perform corresponding processing;
2) and performing CRC (cyclic redundancy check) on the video signal through a video processing chip SoC in the vehicle-mounted IVI, and identifying the interfered video signal if the interfered video signal cannot pass the CRC and performing corresponding processing.
However, the above interference detection method still has the following disadvantages: even if the picture is disturbed, if the characteristics such as the coding format and the CRC check are still satisfactory, the abnormality cannot be recognized.
Disclosure of Invention
The invention provides a display picture detection method and a storage medium, which solve the technical problems that the detection accuracy is low and video pictures are not smooth and clear because the existing video transmission detection technology can only judge whether the pictures are interfered by the characteristics of coding formats or verification and the like.
In order to solve the above technical problems, the present invention provides a display image detection method, comprising the steps of:
s1, calibrating the position of the vehicle model according to the panoramic image splicing strategy;
s2, acquiring a picture to be detected, and extracting display data from the picture according to the position of the vehicle model;
s3, comparing the display data with a display template, and judging whether the picture to be detected is abnormal according to the comparison result;
and S4, when the picture to be detected is abnormal, performing abnormal processing or/and abnormal reminding.
The basic scheme is based on the inherent characteristics that a vehicle model is added in the later period and the pixel characteristics are constant in a panoramic image splicing strategy, the position area of the vehicle model in a normally displayed panoramic picture is collected to be used as a display template, the display template is compared and matched with display data in the current picture to be detected, whether the picture to be detected is interfered and abnormal in the transmission process can be judged according to the comparison result, and therefore the abnormal identification efficiency of the panoramic picture is improved; when the abnormal picture is detected, the system bottom layer software and the application software are informed to perform abnormal operation processing, corresponding schemes of error correction, restarting and the like can be executed in time, and then smooth and clear video images are output.
In further embodiments, the step S1 includes:
s11, obtaining the relative position of the vehicle model in the panoramic image stitching strategy;
and S12, calibrating the area coordinates of the vehicle model position according to the relative position.
In a conventional panoramic image splicing strategy, the fixed vehicle model is added to the inherent position of the spliced image after the splicing of the image acquired from the panoramic camera is completed, namely, the image and the position of the vehicle model are unchanged in the splicing process, and the vehicle model is kept consistent if no image interference occurs in video or image transmission. Therefore, the area coordinates of the vehicle model can be directly calibrated, and the data of the area is used as a measuring basis for measuring whether the image is abnormal or not.
In further embodiments, the step S2 includes:
s21, traversing the spliced video acquired from the 360-frame panoramic camera, and sequentially acquiring each frame of panoramic picture as a picture to be detected;
and S22, acquiring pixel matrix data corresponding to the vehicle model position in the picture to be detected as display data.
In further embodiments, the step S3 includes:
s31, pre-storing pixel matrix data of the vehicle model position in the panoramic picture during normal display as a display template;
and S32, acquiring the display data, comparing and matching the display data with the display template, judging that the picture to be detected is normal if the contrast similarity is greater than a preset threshold value, and otherwise, judging that the picture to be detected is abnormal.
According to the scheme, the pixel matrix data of the vehicle model position in the panoramic picture are directly collected during normal display according to the inherent characteristics of the vehicle model in the panoramic picture and stored as the display template, when the abnormal picture detection is needed, only the display data in the picture to be detected need to be extracted, and the display data and the display template are compared and matched according to the preset threshold value, so that the detection result of whether the picture is abnormal can be quickly obtained, the data processing steps are simple, and the calculated amount is small.
In another embodiment, the step S3 includes:
s31, respectively acquiring data of N template pixel matrixes of vehicle model positions in the panoramic picture of N frames in front of the picture to be detected as N display templates;
and S32, acquiring the display data, comparing and matching the display data with the N display templates respectively, judging that the picture to be detected is normal if the contrast similarity between the display data and any one of the display templates is greater than a preset threshold, and otherwise, judging that the picture to be detected is abnormal.
When the method is used for carrying out abnormity detection, data of N template pixel matrixes of the vehicle model position in the previous N frames of panoramic pictures are directly quoted and used as N display templates to be compared and matched with the display data of the pictures to be detected, the display templates do not need to be manufactured in advance, and only the vehicle model is calibrated to be positioned at the panoramic picture position; and by combining the characteristic that the pixel matrix of the vehicle model position is constant when the picture is normally displayed and the display data are different when the picture is abnormal, the screen splash detection can be realized by judging whether the display data of the vehicle model positions of continuous multiple frames are matched.
In a further embodiment, in step S31, the contrast similarity is greater than a preset threshold:
the number of pixel points meeting the similarity condition in the pixel matrix of the display data is larger than a preset threshold value;
the similarity conditions are as follows: and the difference value between the RGB of the pixel point in the pixel matrix of the display data and the RGB of the corresponding pixel point in the pixel matrix of the display template is within a preset tolerance.
The scheme is combined with actual panoramic image manufacturing, preset tolerance and preset threshold values corresponding to RGB difference values and pixel point numbers are set, and panoramic picture change in a controllable range is compatible, so that the fault tolerance of the panoramic picture is improved, and the smoothness of video playing or image display is improved.
In a further embodiment, the step S4 specifically includes: and when the picture to be detected is abnormal, executing one or more operations of restarting 360 the panoramic box, restarting a video input decoding chip in the IVI product and controlling an IVI display screen interface to perform abnormal prompt.
In further embodiments, in step S31: n is more than or equal to 1 and less than or equal to 5, and N belongs to Z.
The present invention also provides a storage medium having stored thereon a computer program for being implemented with the above-described display screen detection method. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
Drawings
Fig. 1 is a flowchart illustrating a method for detecting a display screen according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of calibration of a vehicle model position provided by an embodiment of the invention.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, which are given solely for the purpose of illustration and are not to be construed as limitations of the invention, including the drawings which are incorporated herein by reference and for illustration only and are not to be construed as limitations of the invention, since many variations thereof are possible without departing from the spirit and scope of the invention.
Example 1
As shown in fig. 1, the method for detecting a display screen according to an embodiment of the present invention includes steps S1 to S4:
s1, calibrating the position of the vehicle model according to the panoramic image splicing strategy, comprising the steps of S11-S12:
s11, obtaining the relative position of the vehicle model in the panoramic image stitching strategy;
and S12, calibrating the area coordinates of the vehicle model position according to the relative position.
Referring to fig. 2, a normally displayed panoramic image is selected, and the coordinates of the vehicle model area are selected as the vehicle model position to obtain a calibration frame (such as a black frame in the drawing).
The process from acquisition to playing of a common panoramic video is as follows: the method comprises the following steps of camera acquisition, image splicing by a 360-degree panoramic box, receiving and processing spliced images by a video processing chip (for example, SoC) and outputting the spliced images to a display screen for display.
The interference is mostly generated between the 360-degree panoramic box and the video processing chip, so that the inspection method provided by the invention is applied to the video processing process of the video processing chip and is used for eliminating the picture abnormity caused by the interference.
In the conventional panoramic image stitching strategy, it is found that after the stitching of the images acquired from the panoramic camera is completed, the fixed vehicle model is finally added to the inherent position of the stitched image, that is, in the stitching process, the images and the positions of the vehicle model are not changed, and in the video or image transmission, if no image interference occurs, the vehicle model is kept consistent. Therefore, the area coordinates of the vehicle model can be directly calibrated, and the data of the area is used as a measuring basis for measuring whether the image is abnormal or not.
S2, acquiring the picture to be detected, and extracting display data from the picture according to the position of the vehicle model, wherein the method comprises the following steps of S21-S22:
s21, traversing the spliced video acquired from the 360-frame panoramic camera, and sequentially acquiring each frame of panoramic picture as a picture to be detected;
and S22, acquiring pixel matrix data corresponding to the position of the vehicle model in the picture to be detected as display data.
The frame to be detected is selected according to the calibration frame selection, and pixel matrix data in the frame selection range is used as display data. The pixel matrix data includes RGB values of each pixel in the pixel matrix.
S3, comparing the display data with the display template, and judging whether the picture to be detected is abnormal according to the comparison result, including steps S31-S32:
s31, pre-storing pixel matrix data of the vehicle model position in any panoramic picture during normal display as a display template;
and S32, acquiring the display data, comparing and matching the display data with the display template, judging that the picture to be detected is normal if the contrast similarity is greater than a preset threshold, and otherwise, judging that the picture to be detected is abnormal.
In this embodiment, the contrast similarity greater than the preset threshold is:
the number of pixel points meeting the similarity condition in a pixel matrix of the display data is larger than a preset threshold;
the similarity conditions are as follows: the difference value of RGB between the pixel point in the pixel matrix of the display data and the corresponding pixel point in the pixel matrix of the display template is within a preset tolerance.
The specific comparison principle is as follows:
let display data be matrix S1[ a ]ij]，aijThe RGB value of the ith row and the jth column pixel point is represented; the display template is a matrix S2[ b ]ij]，bijAnd the RGB value of the ith row and the jth column pixel point is represented.
When the comparison matching is performed, a is calculatedijAnd bijDifference value c ofijIf c isijS is less than or equal to s (s is a preset tolerance and can be self-defined according to actual conditions), then a is judgedijAnd bijMatching is successful, otherwise, a is judgedijAnd bijThe match was unsuccessful.
Subsequently, the matrix S1[ a ] is calculatedij]And matrix S2[ b ]ij]And obtaining contrast similarity by the matching success rate of each pixel point, comparing the contrast similarity with a preset threshold, judging that the picture to be detected is normal if the contrast similarity is greater than the preset threshold, and otherwise judging that the picture to be detected is abnormal.
In this embodiment:
the method is combined with actual panoramic image manufacturing, preset tolerance and preset threshold values corresponding to RGB difference values and pixel point numbers are set, and panoramic image change in a controllable range is compatible, so that the fault tolerance of the panoramic image is improved, and the fluency of video playing or image display is improved.
According to the inherent characteristics of the vehicle model in the panoramic image, pixel matrix data of the vehicle model position in the panoramic image during normal display are directly collected and stored as a display template, when abnormal image detection is needed, only the display data in the image to be detected are extracted, and the display data and the display template are compared and matched according to a preset threshold value, so that the detection result of whether the image is abnormal can be quickly obtained, the data processing steps are simple, and the calculated amount is small.
S4, when the detected picture is abnormal, performing abnormal processing or/and abnormal reminding, specifically: and when the detected picture is abnormal, executing one or more operations of restarting 360 the panoramic box, restarting a video input decoding chip in the IVI product and controlling an IVI display screen interface to perform abnormal prompt.
The embodiment of the invention is based on the inherent characteristics that the vehicle model is added in the later period and the pixel characteristics are constant in the panoramic image splicing strategy, the position area of the vehicle model in the normally displayed panoramic image is collected to be used as a display template, the display template is compared and matched with the display data in the current image to be detected, and whether the image to be detected is interfered and abnormal in the transmission process can be judged according to the comparison result, so that the abnormal identification efficiency of the panoramic image is improved; when the abnormal picture is detected, the system bottom layer software and the application software are informed to perform abnormal operation processing, corresponding schemes of error correction, restarting and the like can be executed in time, and then smooth and clear video images are output.
Example 2
The difference between the method for detecting a display screen according to the embodiment of the present invention and embodiment 1 is that in step S3, specifically, step S3 includes:
s31, respectively acquiring data of N template pixel matrixes of vehicle model positions in N frames of panoramic pictures in front of a picture to be detected as N display templates;
in this embodiment, N is 1. ltoreq. N.ltoreq.5, and N.epsilon.Z. In other embodiments, it is within the scope of the present invention to set the value range of N according to the user's requirement, and perform adaptive expansion or reduction.
In this embodiment, the contrast similarity greater than the preset threshold is:
the number of pixel points meeting the similarity condition in a pixel matrix of the display data is larger than a preset threshold;
the similarity conditions are as follows: the difference value of RGB between the pixel point in the pixel matrix of the display data and the corresponding pixel point in the pixel matrix of the display template is within a preset tolerance.
And S32, acquiring display data, comparing and matching the display data with the N display templates respectively, if the contrast similarity between the display data and any display template is greater than a preset threshold value, judging that the picture to be detected is normal, and otherwise, judging that the picture to be detected is abnormal.
Specifically, assuming that the display data is the matrix S1 and N is 3, the pixel matrices of the 3 display templates are the matrix S2, the matrix S3, and the matrix S4, respectively.
And comparing and matching the matrix S1 with the matrix S2, the matrix S3 and the matrix S4 in sequence, if the contrast similarity between the matrix S1 and the matrix S3 (or the matrix S2 or the matrix S4) is larger than a preset threshold value, judging that the picture to be detected is normal, and otherwise, judging that the picture to be detected is abnormal.
When the anomaly detection is carried out, data of N template pixel matrixes at the position of the vehicle model in the previous N frames of panoramic pictures are directly quoted and used as N display templates to be compared and matched with display data of the pictures to be detected, the display templates do not need to be made in advance, and only the position of the vehicle model in the panoramic picture needs to be calibrated; and by combining the characteristic that the pixel matrix of the vehicle model position is constant when the picture is normally displayed and the display data are different when the picture is abnormal, the screen splash detection can be realized by judging whether the display data of the vehicle model positions of continuous multiple frames are matched.
The above embodiment 1 and embodiment 2 are preferred embodiments of the present invention, and the method for detecting the display screen abnormality provided in the embodiment of the present invention can also be applied to other products, and is suitable for any product having a display screen with a part of fixed images (the area of the fixed images is not limited), for example, a liquid crystal instrument displays fixed icons.
Example 3
An embodiment of the present invention further provides a storage medium, on which a computer program is stored, where the computer program is used to implement the display screen detection method in embodiment 1 or embodiment 2. The storage medium may be a magnetic disk, an optical disk, a Read Only Memory (ROM), a Random Access Memory (RAM), or the like.
The above embodiments are preferred embodiments of the present invention, but the present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents thereof, and all such changes, modifications, substitutions, combinations, and simplifications are intended to be included in the scope of the present invention.
Claims (9)
1. A display screen detection method is characterized by comprising the following steps:
s1, calibrating the position of the vehicle model according to the panoramic image splicing strategy;
s2, acquiring a picture to be detected, and extracting display data from the picture according to the position of the vehicle model;
s3, comparing the display data with a display template, and judging whether the picture to be detected is abnormal according to the comparison result;
and S4, when the picture to be detected is abnormal, performing abnormal processing or/and abnormal reminding.
2. The display detection method according to claim 1, wherein said step S1 includes:
s11, obtaining the relative position of the vehicle model in the panoramic image stitching strategy;
and S12, calibrating the area coordinates of the vehicle model position according to the relative position.
3. The display detection method according to claim 2, wherein said step S2 includes:
s21, traversing the spliced video acquired from the 360-frame panoramic camera, and sequentially acquiring each frame of panoramic picture as a picture to be detected;
and S22, acquiring pixel matrix data corresponding to the vehicle model position in the picture to be detected as display data.
4. The display detection method according to claim 3, wherein said step S3 includes:
s31, pre-storing pixel matrix data of the vehicle model position in the panoramic picture during normal display as a display template;
and S32, acquiring the display data, comparing and matching the display data with the display template, judging that the picture to be detected is normal if the contrast similarity is greater than a preset threshold value, and otherwise, judging that the picture to be detected is abnormal.
5. The display detection method according to claim 3, wherein said step S3 includes:
s31, respectively acquiring data of N template pixel matrixes of vehicle model positions in the panoramic picture of N frames in front of the picture to be detected as N display templates;
and S32, acquiring the display data, comparing and matching the display data with the N display templates respectively, judging that the picture to be detected is normal if the contrast similarity between the display data and any one of the display templates is greater than a preset threshold, and otherwise, judging that the picture to be detected is abnormal.
6. The method as claimed in claim 4 or 5, wherein in step S31, the comparison similarity greater than the preset threshold is:
the number of pixel points meeting the similarity condition in the pixel matrix of the display data is larger than a preset threshold value;
the similarity conditions are as follows: and the difference value between the RGB of the pixel point in the pixel matrix of the display data and the RGB of the corresponding pixel point in the pixel matrix of the display template is within a preset tolerance.
7. The method for detecting a display screen according to claim 1, wherein the step S4 is specifically as follows: and when the picture to be detected is abnormal, executing one or more operations of restarting 360 the panoramic box, restarting a video input decoding chip in the IVI product and controlling an IVI display screen interface to perform abnormal prompt.
8. The display detection method according to claim 5, wherein in step S31: n is more than or equal to 1 and less than or equal to 5, and N belongs to Z.
9. A storage medium having a computer program stored thereon, characterized in that: the computer program is for implementing a display detection method as claimed in claims 1-8.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114120480A (en) * | 2021-11-23 | 2022-03-01 | 中国航空工业集团公司洛阳电光设备研究所 | Static symbol monitoring method for airborne HUD picture generation process |
| CN114466181A (en) * | 2021-12-29 | 2022-05-10 | 沈阳中科创达软件有限公司 | Video anomaly detection method, device, equipment and system |
| CN115220939A (en) * | 2021-08-05 | 2022-10-21 | 广州汽车集团股份有限公司 | Fault recovery method and device for vehicle-mounted display equipment, terminal equipment and medium |
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