A THz Image Edge Detection Method Based on Wavelet and Neural Network

摘要：

A THz Image edge detection approach based on wavelet and Neural Network is proposed in this paper. First, the source image is decomposed by wavelet, the edges in the low-frequency sub-image are detected using Neural Network method and the edges in the high-frequency sub-images are detected using wavelet transform method on the coarsest level of the wavelet decomposition, the two edge images are fused according to some fusion rules to obtain the edge image of this level, it then is projected to the next level. Afterwards the final edge image of L-1 level is got according to some fusion rule. This process is repeated until reaching the 0 level thus to get the final integrated and clear edge image. The experimental results show that our approach based on fusion technique is superior to Canny operator method and wavelet transform method alone.

关键词： edge detection wavelet neural network Image processing

作者: Rong Wang Lihua Li Weijun Hong Nan Yang

作者单位: College of security & protection Chinese people’s public security university Beijing, China Information Center Zhongguancun Software Park Beijing, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）