Abstract：Concerning the characteristics of complex components of irregular images and random alignment of irregular spot without proper fitting mathematics model, an adaptive segmentation algorithm with improved Pulse Coupled Neural Network （PCNN） was proposed in the paper. On the basis of basic PCNN model, the neurons feedback input function and dynamic threshold function were modified and multi-level output model for the neuron output was designed to implement the segmentation process as well. Simulation experiment shows that the improved PCNN has better robustness and can realize the adaptive segmentation of irregular image.
冯登超 杨兆选 王哲 J.M.Dias Pereira. 基于改进型PCNN的不规则图像自适应分割算法研究[J]. 计算机应用, 2008, 28(3): 650-652.
Deng-Chao Feng Zhao-Xuan Yang Zhe Wang Pereira Jose Miguel. Study on adaptive segmentation of irregular image based on improved PCNN. Journal of Computer Applications, 2008, 28(3): 650-652.
