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A PDE Based Method for Fuzzy Classification of Medical Images

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3 Author(s)
Thiruvenkadam, S.R. ; Dept. of Math., California Univ., Los Angeles, CA, USA ; Arcot, S. ; Chen, Y.

We propose a novel variational approach to automatically soft-segment medical images into a fixed number of classes. Our method combines fuzzy classification and active contours in a single variational framework. This approach allows the use of tools from both de-formable geometry and clustering in a well-defined setting and provides a useful, unsupervised segmentation technique. The model was tested on synthetic and MRI brain data, with promising results.

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 2006