A new interactive segmentation scheme based on fuzzy affinity and live-wire

Authors:
Huiguang He;Jie Tian;Yao Lin;Ke Lu
Affiliations:
Medical Image Processing Group, Key Laboratory of Complex Systems and, Intelligence Science, Chinese Academy of Science, Beijing, China;Medical Image Processing Group, Key Laboratory of Complex Systems and, Intelligence Science, Chinese Academy of Science, Beijing, China;Medical Image Processing Group, Key Laboratory of Complex Systems and, Intelligence Science, Chinese Academy of Science, Beijing, China;Medical Image Processing Group, Key Laboratory of Complex Systems and, Intelligence Science, Chinese Academy of Science, Beijing, China
Venue:
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Year:
2005

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Abstract

In this paper we report the combination of the Live-Wire method with the region growing algorithm based on fuzzy affinity. First, we employed anisotropic diffusion filter to process the images which smoothed the images while keeping the edge, and then we confined the possible boundary in applying the Live-Wire method to the over-segmentation found by the region growing algorithm. The speed and the reliability of the segmentation of the Live-Wire method are greatly improved by such combination. This method has been used for CT and MR image segmentation. The results confirmed that our method is practical and accurate in the medical image segmentation.