A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model
Joint Authors
Liu, Guoying
Li, Pengwei
Zhang, Yun
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-04
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper presents a variation of the fuzzy local information c-means clustering (FLICM) algorithm that provides color texture image clustering.
The proposed algorithm incorporates region-level spatial, spectral, and structural information in a novel fuzzy way.
The new algorithm, called RFLICM, combines FLICM and region-level Markov random field model (RMRF) together to make use of large scale interactions between image patches instead of pixels.
RFLICM can overcome the weakness of FLICM when dealing with textured images and at the same time enhances the clustering performance.
The major characteristic of RFLICM is the use of a region-level fuzzy factor, aiming to guarantee texture homogeneity and preserve region boundaries.
Experiments performed on synthetic and remote sensing images show that RFLICM is effective in providing accuracy to color texture images.
American Psychological Association (APA)
Liu, Guoying& Li, Pengwei& Zhang, Yun. 2015. A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073299
Modern Language Association (MLA)
Liu, Guoying…[et al.]. A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073299
American Medical Association (AMA)
Liu, Guoying& Li, Pengwei& Zhang, Yun. A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073299
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073299