关键词: 图像分割, 脉冲耦合神经网络, 直方图, 边缘乘积互信息

Abstract: Pulse Coupled Neural Network（PCNN） is widely used in image segmentation. The original way of determining threshold is to try out by decreasing equal interval, without considering the prior gray distribution of images. However, this method can’t ensure to find out the global optimal threshold, which would affect the effectiveness of results. In consideration of these facts, histogram is introduced to PCNN model, and solves the problem of selecting global optimal threshold. Furthermore, a new rule for optimal segmentation result is also proposed, named contoured product mutual information. Experimental results show that the proposed technique can achieve higher segmentation accuracy, and improve the running efficiency.

Key words: image segmentation, Pulse Coupled Neural Network（PCNN）, histogram, contoured product mutual information