Abstract：Pulse-Coupled Neural Networks (PCNN) is very suitable for image segmentation.In condition of certain parameters,the result of segmentation will periodically change with the iteration times.Therefore,how to decided the best iteration times is the key of applying PCNN in image auto-segmentation.In this paper,an edge statistic algorithm based on calculation of connected region is provided.This algorithm calculates the valid edge of the segmentation result,and it means that the max is accordant with the best segmentation.It has been proved by experiments that the algorithm has much better sensitivity than those methods based on entropy of image or on edge operator,and also has stronger robustness of noise.
赵峙江;张田文;张志宏. 一种新的基于PCNN的图像自动分割算法研究[J]. 电子学报, 2005, 33(7): 1342-1344.
ZHAO Shi-jiang;ZHANG Tian-wen;ZHANG Zhi-hong. A Study of a New Image Segmentation Algorithm Based on PCNN. Chinese Journal of Electronics, 2005, 33(7): 1342-1344.
2005, Vol. 33 
