关键词: 图像分割, 参数设置, ＰＣＮＮ模型改进, 迭代次数

Abstract: In order to reduce the number of model parameters and iteration times of the Pulse Coupled Neural Network (PCNN) in image segmentation，an improved PCNN fast image segmentation algorithm is proposed. PCNN is simplified and the constant connection coefficient is linked with pixel gray scale value of corresponding neurons in the algorithm. The algorithm does not need to set PCNN parameters artificially in image segmentation and the dynamic threshold is transformed into constant threshold according to gray scale statistical characteristics of the image so that only one iteration time is needed for image segmentation. 'The experimental results show that the proposed algorithm has good performance of subjective visual perception and lower time complexity，and it is better than comparison algorithm.

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