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ISRN Signal Processing
Volume 2012 (2012), Article ID 781653, 11 pages
http://dx.doi.org/10.5402/2012/781653
Research Article

A Hierarchical Algorithm for Multiphase Texture Image Segmentation

1Department of Eye and Vision Science, University of Liverpool, Daulby Street, Liverpool L69 3GA, UK
2Centre for Mathematical Imaging Techniques and Department of Mathematical Sciences, University of Liverpool, Peach Street, Liverpool L69 7ZL, UK

Received 30 March 2012; Accepted 3 May 2012

Academic Editors: G. Camps-Valls, I. Guler, and C.-W. Kok

Copyright © 2012 Yalin Zheng and Ke Chen. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Image segmentation is a fundamental task for many computer vision and image processing applications. There exist many useful and reliable models for two-phase segmentation. However, the multiphase segmentation is a more challenging problem than two phase segmentation, mainly due to strong dependence on initialization of solutions. In this paper we propose a reliable hierarchical algorithm for multiphase texture image segmentation by making full use of two-phase texture models in a fuzzy membership framework. Application of the new algorithm to the synthetic and real medical imaging data demonstrate more satisfactory results than existing algorithms.