Biological Cell Image Segmentation Based on PCNN

doi:10.3969/j.issn.1007-2985.2014.01.011

journal6 ›› 2014, Vol. 35 ›› Issue (1): 46-49.DOI: 10.3969/j.issn.1007-2985.2014.01.011

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Biological Cell Image Segmentation Based on PCNN

ZHANG Xiao-Qin, YU Lie, LI Yi

(Department of Biochemistry,A’Ba Teachers College,Wenchuan 623002，Sichuan China)

Online:2014-01-25 Published:2014-01-25

Abstract

Abstract: Based on pulse coupled neural network (PCNN) model,the method for determining the parameters about the model of threshold θ,link power ω,iterative number of times N have been discussed.And the biological cell image segmentation has been investigated by means of maximum entropy and PCNN model,with the influence of various parameters on the quality of image segmentation analyzed.Results demonstrate that the greater the image entropy value is,the better the overall effect will be.

Key words: PCNN, image segmentation, cell segmentation

ZHANG Xiao-Qin, YU Lie, LI Yi. Biological Cell Image Segmentation Based on PCNN[J]. journal6, 2014, 35(1): 46-49.

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Biological Cell Image Segmentation Based on PCNN

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