International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 69 - Number 19 |
Year of Publication: 2013 |
Authors: Ashutosh Jaiswal, Lavika Kurda, Vijai Singh |
10.5120/12076-7656 |
Ashutosh Jaiswal, Lavika Kurda, Vijai Singh . Reboost Image Segmentation using Genetic Algorithm. International Journal of Computer Applications. 69, 19 ( May 2013), 1-7. DOI=10.5120/12076-7656
This paper present a Improved Algorithm for Image Segmentation System for a RGB colour image, and presents a proposed efficient colour image segmentation algorithm based on evolutionary approach i. e. improved Genetic algorithm. The proposed technique, without any predefined parameters determines the optimum number of clusters for colour images. The optimal number of clusters is obtained by using maximum fitness value of population selection. The advantage of this method lies in the fact that no prior knowledge related to number of clusters is required to segment the color image. Proposed algorithm strongly supports the better quality of segmentation. Experiments on standard images have given the satisfactory and comparable results with other techniques.