Abstract: Image segmentation is a major problem in image processing,the effect of image segmentation directly affects the results of image analysis.Color image segmentation is to segment the color image into regions with different characteristics and to extract the target of interest,which lays the foundation for the subsequent image processing.For color image gradient map of watershed segmentation,it will cause the over segmentation problem,through comparing with various image segmentation methods(threshold segmentation,Ostu segmentation,maximum entropy segmentation),a color image segmentation method of maximum entropy based on genetic algorithm was proposed.The test results show that the image segmentation algorithm can effectively segment the color image.

Key words: Color image segmentation,Maximum entropy,Genetic algorithm