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Proceedings Paper

Hybrid image segmentation using fuzzy c-means and gravitational search algorithm
Author(s): Emadaldin Mozafari Majd; M. A. As'ari; U. U. Sheikh; S. A. R. Abu-Bakar
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Paper 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.

Paper Details

Date Published: 8 June 2012
PDF: 5 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342V (8 June 2012); doi: 10.1117/12.956460
Show Author Affiliations
Emadaldin Mozafari Majd, Univ. Teknologi Malaysia (Malaysia)
M. A. As'ari, Univ. Teknologi Malaysia (Malaysia)
U. U. Sheikh, Univ. Teknologi Malaysia (Malaysia)
S. A. R. Abu-Bakar, Univ. Teknologi Malaysia (Malaysia)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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