A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c -Means Clustering
Joint Authors
Ma, Li
Li, Yang
Fan, Runzhu
Fan, Suohai
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Image segmentation plays an important role in medical image processing.
Fuzzy c-means (FCM) clustering is one of the popular clustering algorithms for medical image segmentation.
However, FCM has the problems of depending on initial clustering centers, falling into local optimal solution easily, and sensitivity to noise disturbance.
To solve these problems, this paper proposes a hybrid artificial fish swarm algorithm (HAFSA).
The proposed algorithm combines artificial fish swarm algorithm (AFSA) with FCM whose advantages of global optimization searching and parallel computing ability of AFSA are utilized to find a superior result.
Meanwhile, Metropolis criterion and noise reduction mechanism are introduced to AFSA for enhancing the convergence rate and antinoise ability.
The artificial grid graph and Magnetic Resonance Imaging (MRI) are used in the experiments, and the experimental results show that the proposed algorithm has stronger antinoise ability and higher precision.
A number of evaluation indicators also demonstrate that the effect of HAFSA is more excellent than FCM and suppressed FCM (SFCM).
American Psychological Association (APA)
Ma, Li& Li, Yang& Fan, Suohai& Fan, Runzhu. 2015. A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c -Means Clustering. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057799
Modern Language Association (MLA)
Ma, Li…[et al.]. A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c -Means Clustering. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1057799
American Medical Association (AMA)
Ma, Li& Li, Yang& Fan, Suohai& Fan, Runzhu. A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c -Means Clustering. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1057799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057799