Optimization of image segmentation through region merging method by the use of genetic algorithm

In this paper, we studied the segmentation of color images through region merging method. To achieve this goal, images should already be initially segmented and K-means method was used for this task. In region merging method, regions which have the minimum difference in variance merge with each other and this merging continues until the developed regions reach a certain limit. Genetic algorithm method was used to determine that limit. Therefore, merging of the regions repeated several times and each time the number of mutations and crossovers were optimized. The use of this method created very interesting results in terms of identifications. the program segmented crowded images very well and merged regions to a large extent.