8 June 2012 Hybrid image segmentation using fuzzy c-means and gravitational search algorithm
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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.
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Emadaldin Mozafari Majd, Emadaldin Mozafari Majd, M. A. As'ari, M. A. As'ari, U. U. Sheikh, U. U. Sheikh, S. A. R. Abu-Bakar, 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); doi: 10.1117/12.956460; https://doi.org/10.1117/12.956460
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