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

Emadaldin Mozafari Majd; M. A. As'ari; U. U. Sheikh; S. A. R. Abu-Bakar

doi:10.1117/12.956460

8 June 2012 Hybrid image segmentation using fuzzy c-means and gravitational search algorithm

Emadaldin Mozafari Majd, M. A. As'ari, U. U. Sheikh, S. A. R. Abu-Bakar

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342V (2012) https://doi.org/10.1117/12.956460
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

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.

Citation Download Citation

Emadaldin Mozafari Majd, M. A. As'ari, U. U. Sheikh, and S. A. R. Abu-Bakar "Hybrid image segmentation using fuzzy c-means and gravitational search algorithm", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342V (8 June 2012); https://doi.org/10.1117/12.956460

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