文件名称:Diffusion-Snakes
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详细的讲解了Snake参数轮廓演化过程,构建了能量函数!-a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of statistical prior on the shape of the segmenting contour. By minimizing a single energy functional, we obtain a segmentation process which maximizes both the grey value homogeneity in the separated regions and the similarity of the contour with respect to a set of training shapes.
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Diffusion Snakes算法/Diffusion Snakes Introducing Statistical Shape Knowledge.pdf
Diffusion Snakes算法/Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and traking.pdf
Diffusion Snakes算法
Diffusion Snakes算法/Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and traking.pdf
Diffusion Snakes算法
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