A image feature fast segmentation method based on curvature analysis
An image feature and segmentation algorithm technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problem of large amount of calculation, reduce the amount of calculation, etc., and achieve the effect of good corner positioning accuracy
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[0019] A kind of image feature fast segmentation method based on curvature analysis of the present invention will be described in detail below in conjunction with accompanying drawing and a typical specific embodiment, and this algorithm specifically comprises the following parts:
[0020] First, the zero-order geometric continuous processing is performed on the input image, and the steps are as follows:
[0021] The algorithm uses the Canny operator to perform edge detection on the image to obtain discrete edge points, and uses the 8-neighborhood boundary tracking algorithm to screen out the edge points with spatial continuity in the image, and performs edge connection and short edge removal on the continuous edges, and finally adopts The method of Gaussian evolution smoothes the continuous edge to further enhance the spatial continuity of edge points.
[0022] The discrete edge points in the image are transformed into a set of edge points with spatial continuity after zero-o...
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