The purpose of this filter is to create a feature image that is suitable for a level-set algorithm, from an intensity image.
It takes the original image and performs anisotropic gaussian diffusion on it, reducing the noise while preserving the edges.
Then the magnitude of the gradient is computed. This magnitude is then non-linearly remapped so as to get very small values in the image edges and very big values in homogeneous areas.
Module Type & Category
Type: CLI Category: Level-Set Segmentation
Authors, Collaborators & Contact
- Author: Carlos S. Mendoza, Universidad de Sevilla
- Contact: email@example.com
Quick Tour of Features and Use
There is only one panel available in this module:
|The parameters have the following meaning:
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Source code & documentation
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This work was developed on financial support from the University of Sevilla, Spain. Most of the development took place in the Surgical Planning Laboratory, Harvard Medical School and Brigham and Women's Hospital, under the supervision of Mr. Steve Pieper Ph.D.