Multiphase Segmentation Based on Implicit Active Shape Models

Authors:
Huang Fuzhen;She Xingxing
Affiliations:
Departmen of Automation, Shanghai University of Electric Power, Shanghai, China 200090;Departmen of Automation, Shanghai University of Electric Power, Shanghai, China 200090
Venue:
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Year:
2009

Citing 9
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Abstract

Level set based approaches are widely used for image segmentation. One of the challenges in these methods is the incorporation of prior knowledge on the shape of the segmentation contour. In this paper a level set variant of active shape models is presented to provide shape prior. By incorporating this shape prior with Chan-Vese model, the improved level set model can account for prior shape knowledge quite efficiently and is used for multiphase segmentation. Promising results on multiple face contour extraction demonstrate the potential of our approach.