Wire tracking identification method based on gradient transformation
A recognition method and gradient transformation technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of wire extraction and tracking difficulties, wire detection is easily affected by light and other environments, etc.
Pending Publication Date: 2022-05-31
南京红松信息技术有限公司
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Problems solved by technology
For example, in a physical circuit experiment, it is necessary to judge the specific equipment connected at both ends of the wire, but the actual wire connection has many complicated situations, and the detection of the wire is easily affected by the environment such as light, which makes the extraction and tracking of the wire difficult. difficulty
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[0060] Example: such as figure 1 As shown, the gradient transformation-based wire tracing recognition method specifically includes the following steps:
[0061] S1 reads the video frame image: reads the video information frame by frame and obtains the video frame image; in the step S1, a streaming media protocol (such as: RTSP) is used to pull the video stream or directly read the video file in the mp4 format, all video frames The reading of the image is all three-channel input, recorded as: src, and its function is expressed as: f(x,y);
[0062] S2 wire extraction: denoising the video frame image obtained in the step S1, then performing edge contour detection to extract the wire in the video frame image, obtaining the wire image, denoted as: srcLineImg image;
[0063] The concrete steps of described step S2 are:
[0064] S21: Denoise the video frame image by using a general bilateral filter or Gaussian filter algorithm, suppress image noise, and remove noise interference in...
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The invention relates to a lead tracking identification method based on gradient transformation. The method comprises the following steps: S1, reading a video frame image; s2, conducting wire extraction: performing denoising processing on the video frame image, and then performing edge contour detection to extract a conducting wire in the video frame image to obtain a conducting wire image; s3, conducting wire tracking: performing target detection according to the target identification model to obtain position coordinates of all equipment electrodes, realizing electrode positioning, removing the electrodes in the conducting wire image according to the electrode positioning, and then performing conducting wire tracking and direction tracking to obtain a conducting wire path; and S4, equipment connection judgment: according to the lead path obtained in the step S3, selecting two end points forming the lead path, and judging the contact condition of the coordinates of the two end points and the position coordinates of the equipment electrodes so as to judge the equipment connected with the two ends of the lead. According to the method, the to-be-identified wire can be completely extracted, tracking is performed according to the actual connection trend of the wire, and the connection relation of equipment at the two ends of the wire is determined from the image.
Description
technical field [0001] The invention belongs to the technical field of computer image processing, and in particular relates to a gradient transformation-based wire tracing recognition method, which is used to solve the problem of identifying the direction of wires in a physical circuit. Background technique [0002] With the rapid development of artificial intelligence technology, more and more intelligent products have come out one after another, and have been widely used in various industries. In recent years, the core technology of artificial intelligence has begun to be applied in the field of education, and has gradually achieved considerable development. Various educational products have emerged in an endless stream, and the accompanying services of artificial intelligence can also be seen everywhere. Such as: automated review service for test papers and assignments, it not only abandons the shortcomings of high error rate and inefficiency caused by traditional review ...
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IPC IPC(8): G06V30/422G06V20/40G06V10/44
Inventor 田博帆
Owner 南京红松信息技术有限公司