Research on fast image segmentation algorithm based on machine vision
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The machine vision system converts the captured object into image signal through the image capturing device, which is transmitted to the special image processing system, and then transformed into digital signal according to the pixel distribution, brightness, color and other information. Machine vision system can quickly obtain a large amount of information, and it is easy to process automatically, and it is also easy to integrate with design information and processing control information. According to the characteristics of the damage images collected by the micro imaging system, the rapid judgment of the damage in the irradiation area and the automatic extraction technology of the damage area are studied. According to the obvious peak value of the histogram of the difference image before and after the damage, a damage discrimination algorithm based on the gray distribution characteristics is proposed. The algorithm only depends on the gray distribution statistics of the difference image before and after the pulse laser irradiation, which reduces the difficulty of image processing and can quickly and effectively detect whether the damage occurs.
machine vision, Damage image, Segmentation correction