Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 215-217.

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Novel PCNN Model and its Application on Image Segmentation

AN Qi,LI Min,HE Yu-jie and YAO Jun-ping   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Considering the parameters of pulse coupled neural network (PCNN) are mainly adjusted manually,a novle PCNN model are proposed to reduce the parameters and simplifies its modulation parameter β and connect matrix K as linking matrix W.This paper brings forward a segmentation method based on a novel PCNN with the parameters determined by images’ spatial and grey characteristics automatically.Segmentations on images are implemented with the proposed method and the experimental result are better than that of other methods,such as Otsu method and manual adjustment method of PCNN parameters.

Key words: Novel PCNN model,Parameters determinations,Automatic image segmentation

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