Universiti Teknologi Malaysia Institutional Repository

Hybrid image segmentation using fuzzy c-means and gravitational search algorithm

Majd, E. M. and As'Ari, M. A. and Sheikh, U.U. and Abu-Bakar, S. A. R. (2012) Hybrid image segmentation using fuzzy c-means and gravitational search algorithm. Fourth International Conference On Digital Image Processing (Icdip 2012), 8334 . ISSN 0277-786X

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In this paper, we propose a new hybrid approach for image segmentation. The proposed approach exploits spatial fuzzy c-means for clustering image pixels into homogeneous regions. In order to improve the performance of fuzzy c-means to cope with segmentation problems, we employ gravitational search algorithm which is inspired by Newton's rule of gravity. Gravitational search algorithm is incorporated into fuzzy c-means to take advantage of its ability to find optimum cluster centers which minimizes the fitness function of fuzzy c-means. Experimental results show effectiveness of the proposed method in segmentation different types of images as compared to classical fuzzy c-means.

Item Type:Article
Uncontrolled Keywords:Hybrid approach, Hybrid image segmentations, Image pixels
Subjects:T Technology > TA Engineering (General). Civil engineering (General)
Divisions:Biosciences and Medical Engineering
ID Code:47060
Deposited By: Fazli Masari
Deposited On:22 Jun 2015 13:56
Last Modified:14 Oct 2018 16:21

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