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.

Diffusion Snakes算法\Diffusion Snakes Introducing Statistical Shape Knowledge.pdf
....................\Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and traking.pdf
Diffusion Snakes算法

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．