Genetic Optimization for Image Segmentation

ABSTRACT: The present study is concerned with optimization of image segmentation using Genetic Algorithms. The developed implementation utilizes the Split/Merge approach for image segmentation. The split portion involves K-means clustering algorithm and then a Genetic Algorithm (GA) with a proficient chromosome encoding model is applied in the merge procedure. The goals of this study are as follows: a) To study different image segmentation approaches in the literature, b) To review the objectives of optimization in image segmentation, c) To conduct and implement a genetic algorithm optimization for image segmentation. Experimental studies have shown that the above mentioned objectives are all achieved with the developed implementation. Keywords: Image segmentation, genetic algorithms, genetic optimization. ……………………………………………………………………………………………………………………………………………………………………………………………………………………