Edge detection based on fuzzy 2-partition entropy approach

摘要：

This paper addresses the problem of detecting the edge pixels in the grey-level image which based on the maximum fuzzy 2-partition entropy principle. To divide the edge pixels from the image, we use the direction information measures of pixels as the edge characteristic index, and then an entropy function is used to justify if the information of an image is mostly retained after thresholding. In addition, in order to make sure that the threshold locates at the real valley, a fuzzy range is defined, here. The conducted experiment results demonstrate that the proposed approach can select an appropriate threshold automatically and detect the edge pixels effectively for each test image subject to the entropy within the fuzzy range.

关键词： edge detection direction information measures fuzzy 2-partition fuzzy entropy thresholding

作者: Yi Li Zhijun Gao

作者单位: Heilongjiang of Science and Technology College of Computer and Information Engineering Harbin. China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Advanced Computer Control(2011年IEEE第三届高端计算机控制国际会议 ICACC2011)

会议地点: 哈尔滨

会议语种:英文

页码: 616-619

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）