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	A new approach for automated image segmentation based on unit-linking PCNN
	Gu, XD ; Guo, SD ; Yu, DH
	2002
关键词	PCNN unit-linking PCNN automated image segmentation COUPLED NEURAL NETWORKS
英文摘要	PCNN-pulse coupled neural network, a new artificial neural network based on biology, can be efficiently applied to image segmentation. The performance of image segmentation based on PCNN depends on the suitable PCNN parameters. However, it is difficult to get the suitable PCNN parameters for different kinds of images because different kinds of images have different suitable PCNN parameters. So far, no paper described how to get the suitable PCNN parameters to efficiently segment images. In this paper, we brought forward a new approach for image segmentation based on unit-linking PCNN, by which we can use the same PCNN parameter to efficiently segment different kinds of images. Therefore, using this new approach can automatically and efficiently segment images without choosing different parameters for different kinds of images.; Automation & Control Systems; Computer Science, Artificial Intelligence; Computer Science, Cybernetics; Engineering, Electrical & Electronic; CPCI-S(ISTP); 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/293888]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Gu, XD,Guo, SD,Yu, DH. A new approach for automated image segmentation based on unit-linking PCNN. 2002-01-01.

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