Image Edge Detection Using Improved PCNN Model

摘要：

A calculated method is proposed which uses the region areas to modulate the pulse of the corresponding neurons in PCNN. The edge detection for the blurred Image with noise can reduce the noise and obtain a precise edge value of the image. First, based on the analysis of the difference between the edge pixels and the noise pixels, it proposed a method, which suppresses the noise by the region areas.Second, it suggested that image segmentation uses the pulse of the corresponding neurons in PCNN. The experimental results show that this method is effective and feasible.

关键词： Region Area PCNN Edge Detection Noise

作者: Lan Di Yi Lin

作者单位: School of Information Technology, Southern Yangtze University Wuxi, 214122, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 748-750

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）