Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1117/12.956460 | Proceedings of SPIE |
Keywords | Field | DocType |
gravitational search algorithm,fuzzy c-means,segmentation,cluster centers | Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Fuzzy logic,Segmentation-based object categorization,Image segmentation,Fitness function,Hybrid image,Artificial intelligence,Cluster analysis,Mathematics | Conference |
Volume | ISSN | Citations |
8334 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emadaldin Mozafari Majd | 1 | 4 | 1.78 |
| M. A. As'ari | 2 | 9 | 1.21 |
| U. U. Sheikh | 3 | 11 | 3.28 |
| S. A. R. Abu-Bakar | 4 | 79 | 9.67 |