Image Segmentation Based on Local Ant Colony Optimization

In this paper, we proposed an improved image binary segmentation based Ant Colony Algorithm. Within different image areas, different iteration numbers and steps have been set for ants, achieving superior image segmentation results. Experimental results indicate the proposed method can enhance segmentation accuracy and reduce running time, thus possessing considerable application potential.