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

• Main Authors: Majd, E. M., As'Ari, M. A., Sheikh, U.U., Abu-Bakar, S. A. R.
• Format: Article
• Published: Society of Photo-Optical Instrumentation Engineers (SPIE) 2012
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/47060/; https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8334/1/Hybrid-image-segmentation-using-fuzzy-c-means-and-gravitational-search/10.1117/12.956460.short?SSO=1

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.