A Hierarchical Algorithm for Multiphase Texture Image Segmentation. (26th July 2012)

• Record Type: Journal Article
• Authors: Zheng, Yalin; Chen, Ke
• Other Names: Camps-Valls G. Academic Editor.; Guler I. Academic Editor.; Kok C.-W. Academic Editor.
• Is Part Of: ISRN signal processing. Volume 2012(2012)
• Publication Date: 2012-07-26
• Subjects: Signal processing -- Periodicals; Signal processing; Periodicals; 621.3822
• DOI: 10.5402/2012/781653
• Languages: English
• ISSNs: 2090-5041

Abstract

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.