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A new interactive segmentation scheme based on fuzzy affinity and Live-Wire

  • Huiguang He
  • , Jie Tian*
  • , Yao Lin
  • , Ke Lu
  • *Corresponding author for this work
  • Chinese Academy of Sciences

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationFuzzy Systems and Knowledge Discovery - Second International Conference, FSKD 2005, Proceedings
PublisherSpringer Verlag
Pages436-443
Number of pages8
ISBN (Print)9783540283126
DOIs
StatePublished - 2006
Externally publishedYes
Event2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005 - Changsa, China
Duration: 27 Aug 200529 Aug 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3613 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2005
Country/TerritoryChina
CityChangsa
Period27/08/0529/08/05

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