A new approach for color image edge detection using improved PCNN

被引:0
|
作者
Zhou Liang [1 ]
Zheng Jianguo [1 ]
机构
[1] Donghua Univ, Glorious Sun Sch Business & Management, Shanghai W Yanan Rd 1882, Shanghai 200051, Peoples R China
来源
NEW ADVANCES IN SIMULATION, MODELLING AND OPTIMIZATION (SMO '07) | 2007年
关键词
pulse coupled neural network (PCNN); color image segmentation; parameter determination; image edge detection;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recent researches indicate that pulse coupled neural network can be implemented on image processing, such as image segmentation and edge detection effectively. However, up to now it has mainly been used in the processing of gray images or binary images, and the parameters of the network are always adjusted and confirmed manually for different images, which impede PCNN's application in image processing. To solve the problem, this paper use PCNN in the color image se-mentation with the parameters determined by images' spatial and gray characteristics automatically at the first then use the above method to obtaine the edge information. The experiment results shows its validity and robustness.
引用
收藏
页码:6 / +
页数:2
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