Image segmentation method based on dynamic local search and immune clone automatic clustering

The invention provides an image segmentation method based on dynamic local search and immune clone automatic clustering. The image segmentation method is used for solving the technical problems of poor robustness and accuracy and low rate of convergence of the present image segmentation method. The image segmentation method comprises the following steps: 1) inputting a to-be-segmented image; 2) initializing antibody population, thereby acquiring a first antibody population; 3) performing clone selection operation on the first antibody population, thereby acquiring a second antibody population; 4) setting a current optimizing algebra t and the maximum optimizing algebra tmax for optimizing the second antibody population; 5) optimizing the second antibody population, thereby acquiring a sixth antibody population; 6) judging whether meeting an iteration stopping condition; 7) selecting the non-governing disaggregation in the sixth antibody population; 8) segmenting the to-be-segmented image by utilizing the acqu