Automated Image Segmentation Based on Modified PCNN and Mutual Information Entropy

For its good property of pulse burst,Pulse Coupled Neural Network(PCNN) is widely used in image segmentation.However,there are such problems in the method as its parameters are decided by experiment,so use the contrast of pixels as model’s link matrix,and use image mutual information entropy as the criterion to terminate iteration to modify standard model.This paper proposes an automated image segmentation based on modified PCNN.Experimental results show that the method is adaptive,its real time ability is good,and target contour is more clear.