A Method of Edge Detection Combined by Discrete Information Entropy and Self -Organizing Map (SOM)

摘要：

An edge detection method by combining image entropy and Self -Organizing Map (SOM) is proposed in this paper. First, discrete information entropy is used to curve up the smooth region and the region of gray level abruptly changed. This can decrease the latter process. Then we transform the gray level image to ideal binary pattern of pixels. We define six classes edge and six edge prototype vectors. These edge prototype vectors are fed into input layer of the Self -Organizing Map (SOM). Classifying the type of edge through this network, the edge image is obtained. At last, the speckle edges are discarded from the edge image. Experimental results show that it gained better edge image compared with other edge detection methods.

作者: Jianhua WU Kun WANG Liqun GAO Zhengang SHI Zhaoyu PIAN

作者单位: Northeastern University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）