Application Study of Chaos PSO Algorithm in Robot Vision Image Segmentation

The image segmentation of a robot binocular stereo vision system is the key issue in imaging processing. In this paper, the method of 2-d maximum entropy threshold image segmentation with Chaos PSO algorithm is used to segment the images information collected by a robot vision system, and the algorithm is checked by a real robot binocular stereo vision system. Moreover, compared with previous research, the comparative test results show our method has better efficiency in using space information of an image and shortening the calculation time, the image segmentation results are satisfactory.