关键词: 脉冲耦合神经网络, 噪声判定, 均值滤波

Abstract: Images usually have multiple connected regions of the same color. For the problem that Pulse Coupled Neural Networks (PCNN) cannot abstract these areas separately, a PCNN model with improved traversal process was proposed. By introduceing the depth-first search traversal algorithm, multi-unconnected regions were activated on different layers, so as to achieve a separation. Finally, the new model was improved again for the effect of image noise. The activated scope in each layer was used to detect noisy pixels, and then the mean-shift algorithm was introduced to eliminate the noisy pixels. The separation effect of multi-regions with the same color in the image and the ability to eliminate noise has been verified by experiment.

Key words: Pulse Coupled Neural Networks (PCNN), noise determination, mean filtering