The Image Segmentation Method Based on Immune-genetic Algorithms

An image segmentation method based on modified genetic algorithms is presented in this paper. The segmentation method is optimized and the entropy of histogram is taken as the segmentation quality criteria. This method can improve the speed of algorithms compared with traditional methods, especially in processing frame sequential images.