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Proceedings Paper

Medical image segmentation with wavelet transform and information fusion
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Paper Abstract

A novel method providing a supervised processing of medical image for segmentation is presented. This method was based on a pyramid-structured wavelet-transform and improved watershed transform algorithm. The method contains three consecutive stages: image segmentation based on multi-resolution watershed transform, region projection and mergence with extracted multi-future information, edge refinement based on fuzzy information fusion. In the processing, both texture and gray variation information are used inside the tissue regions, and only gradation information is used near the edges of regions. Experimental results for the proposed algorithm indicate feasibility and reliability for certain medical images segmentation.

Paper Details

Date Published: 8 February 2005
PDF: 9 pages
Proc. SPIE 5637, Electronic Imaging and Multimedia Technology IV, (8 February 2005); doi: 10.1117/12.570544
Show Author Affiliations
Wei Wan, Central China Normal Univ. (China)
Guoping Zhang, Central China Normal Univ. (China)
Minghong Chen, Central China Normal Univ. (China)
Minmin Liu, Central China Normal Univ. (China)

Published in SPIE Proceedings Vol. 5637:
Electronic Imaging and Multimedia Technology IV
Chung-Sheng Li; Minerva M. Yeung, Editor(s)

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