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Brain tumor segmentation in MRI images using integrated modified PSO-fuzzy approach
Joint Authors
Remamany, Krishna Priya
Chelliah, Thangaraj
Chandrasekaran, Kesavadas
Subramanian, Kannan
Source
The International Arab Journal of Information Technology
Issue
Vol. 12, Issue 6A(s) (31 Dec. 2015)8 p.
Publisher
Publication Date
2015-12-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Topics
Abstract EN
An image segmentation technique based on maximum fuzzy entropy is applied for Magnetic Resonance (MR) brain images to detect a brain tumor is presented in this paper.
The proposed method performs image segmentation based on adaptive thresholding of the input MR brain images.
The MR brain image is classified into two Membership Function (MF), whose MFs of the fuzzy region are Z-function and S-function.
The optimal parameters of these fuzzy MFs are obtained using Modified Particle Swarm Optimization (MPSO) algorithm.
The objective function for obtaining the optimal fuzzy MF parameters is considered to be the maximum the fuzzy entropy.
In the course of a number of examples, the performance is compared with those using existing entropy-based object segmentation approaches and the superiority of the proposed MPSO method is demonstrated.
The experimental results are compared with the exhaustive search method and Otsu segmentation technique.
The result shows the proposed fuzzy entropy based segmentation method optimized using MPSO achieves maximum entropy with proper segmentation of tumor and with minimum computational time.
American Psychological Association (APA)
Remamany, Krishna Priya& Chelliah, Thangaraj& Chandrasekaran, Kesavadas& Subramanian, Kannan. 2015. Brain tumor segmentation in MRI images using integrated modified PSO-fuzzy approach. The International Arab Journal of Information Technology،Vol. 12, no. 6A(s).
https://search.emarefa.net/detail/BIM-655041
Modern Language Association (MLA)
Remamany, Krishna Priya…[et al.]. Brain tumor segmentation in MRI images using integrated modified PSO-fuzzy approach. The International Arab Journal of Information Technology Vol. 12, no. 6A (Dec. 2015).
https://search.emarefa.net/detail/BIM-655041
American Medical Association (AMA)
Remamany, Krishna Priya& Chelliah, Thangaraj& Chandrasekaran, Kesavadas& Subramanian, Kannan. Brain tumor segmentation in MRI images using integrated modified PSO-fuzzy approach. The International Arab Journal of Information Technology. 2015. Vol. 12, no. 6A(s).
https://search.emarefa.net/detail/BIM-655041
Data Type
Journal Articles
Language
English
Notes
Includes appendix.
Record ID
BIM-655041