Description: Edge of the basic characteristics of the image, is the first step in image segmentation. Classical edge detection methods such as: Roberts, Sobel, Prewitt, Kirsch, and, Laplace, and other methods are basically small neighborhood structure of the original image pixel edge detection operator to carry the line of the first derivative or second-order differential operator, seeking gradient maximum or second derivative zero-crossing, and finally select the appropriate threshold to extract boundary. Because these algorithms involve the computation of the gradient, and therefore are sensitive to noise, and calculate the volume shortcomings. In practice, the SUSAN algorithm based on the surrounding pixel gray
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TGUISUSANh\19854837lkgz.rar
..........\23825789GUI\Chap211.DOC
..........\...........\Chap212.DOC
..........\...........\Chap213.DOC
..........\...........\Chap214.DOC
..........\...........\GUI.doc
..........\...........\GUI.pdf
..........\23825789GUI.rar
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..........\SUSAN_.zip
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TGUISUSANh
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