A Hierarchical Algorithm for Multiphase Texture Image Segmentation
Joint Authors
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-07-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zheng, Yalin& Chen, Ke. 2012. A Hierarchical Algorithm for Multiphase Texture Image Segmentation. ISRN Signal Processing،Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-497534
Modern Language Association (MLA)
Zheng, Yalin& Chen, Ke. A Hierarchical Algorithm for Multiphase Texture Image Segmentation. ISRN Signal Processing No. 2012 (2012), pp.1-11.
https://search.emarefa.net/detail/BIM-497534
American Medical Association (AMA)
Zheng, Yalin& Chen, Ke. A Hierarchical Algorithm for Multiphase Texture Image Segmentation. ISRN Signal Processing. 2012. Vol. 2012, no. 2012, pp.1-11.
https://search.emarefa.net/detail/BIM-497534
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-497534