Research on Multi-region Iterative Segmentation of Image Based on PCNN

A new image multi-region segmentation method based on PCNN is proposed in the paper. The method improves the traditional PCNN image segmentation in such several aspects as following : 1) Removes some secondary parameters in the traditional PCNN model to strengthen the effect on segmentation of image intensity; 2) Divides the segmentation into the initial segmentation and the second segmentation according to the image intensity variation; 3) The initial segmentation is obtained with the bottom value of intensity histogram as dynamic threshold, which make the dynamic threshold impose the minimum impact on the segmentation boundaries; It is subdivided to get the second segmentation. The difference between the firing area and the non-firing area is small and the dynamic linking coefficient is exactly determined by cyclic iteration. The second segmentation is iterated and the complete segmentation of the whole image is performed. The experimental results show that the proposed method is superior to the conventional clustering segmentation algorithm and GBS algorithm.