Medical Image Segmentation Based on Genetic Algorithm

As one of the difficulties and hot of computer vision and image processing. Image segmentation is highly valued by the research workers. In this paper, Genetic Algorithm (GA) has proposed to segment the image. With global searching capacity and the largest variance between clusters as the fitness function, this method can search the optimal threshold of edge detection automatically, and extract the edge of image by combining morphologic processing to realize the segmentation. Experiment shows that the method can not only simplify the segmentation, but also achieve a good segmentation effect and can improve the efficiency and quality of the picture to some extent. The results show that GA algorithm is very stable, and the fusion result is more satisfactory. Thus, GA can be applied in image segmentation and it has a good foreground in application in image processing.