Image Segmentation based on Fuzzy Genetic Algorithm

Image segmentation is one of the most important tasks to extract information in image processing. To satisfy increasing requirement of image segmentation, a variety of segmentation methods have been developed over the past several years. Fuzzy c-means (FCM) is unsupervised segmentation technique that has been successfully applied to future analysis, clustering, and classification but the FCM and its derivative algorithms suffer from various noises in the images. In this paper a new Fuzzy Genetic (FG) algorithm is introduce. This method describes Chromosome representation, Population Initialization, Fitness function, Genetic Operators, domain of the parameters collectively for image segmentation which produced better result comparatively FCM and its derivative methods. KeywordsFuzzy C-mean, Fitness function, image segmentation, Genetic Operators, Domain of the parameters