Belt detection algorithm based on machine vision
A detection algorithm and machine vision technology, applied in the direction of instrumentation, calculation, image data processing, etc., can solve problems such as false detection, large missed detection, inability to detect small belt tears, unsuitable for industrial use, etc., to achieve fast processing speed, The output precision is improved and the effect of high precision
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[0038] In embodiment one, add following embodiment again:
[0039] A kind of belt detection algorithm based on machine vision, comprises the steps:
[0040] A. First read the video frame through the camera;
[0041] A1. Collect the surface image of the belt surface through the camera, and judge the clarity of the collected image, and adjust the focus state according to the clarity of the image;
[0042] B. Separately filter out the belt and remove background noise;
[0043] B1. Separately extract the moving belt for processing, perform regional recognition features on abnormal images such as tears, and identify those that meet the set threshold as tears;
[0044] C. Detect whether there is an abnormal area in the belt;
[0045] C1. Select the previous most likely models as background models. After the background model is extracted, the belt can be filtered out for separate detection;
[0046] D. Send a signal to the server to alarm and save the video clip;
[0047] D1. Af...
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