Multi-target image segmentation C-V method based on area division and gradient guiding
A C-V, multi-target technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of target over-segmentation, missing targets, slow evolution, etc., to overcome sensitivity, avoid omission, improve accuracy and efficiency effect
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[0021] A C-V method for image multi-target segmentation based on region division and gradient guidance, comprising the following steps:
[0022] Step 1. Quickly determine the approximate outline of the target boundary by the maximum between-class variance method;
[0023] Step 2. Taking the rough contour of the determined target boundary as the initial contour, the evolution process of converting the image target segmentation into a level set:
[0024] Step 2.1 performs binarization processing on the image based on the maximum inter-class variance method, and roughly distinguishes the target area from the background area, wherein the "0" area is the approximate background area, and the "1" area is the approximate target area;
[0025] Step 2.2 For the binarized image, determine the approximate outline of the target area by calculating the difference between each pixel and its adjacent pixel gray values in the four directions above, below, left, and right, that is, if the fou...
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