标题:A new edge detection algorithm using FFT procedure
作者:Yang, Tongfeng ;Ma, Jun ;Huang, Shaomang ;Zhao, Qian
通讯作者:Ma, J
作者机构:[Yang, Tongfeng ;Ma, Jun ;Huang, Shaomang ;Zhao, Qian ] Department of Computer Science and Technology, Shandong University, Jinan, China
会议名称:3rd International Conference on Multimedia Technology, ICMT 2013
会议日期:29 November 2013 through 1 December 2013
来源:Lecture Notes in Electrical Engineering
出版年:2014
卷:278 LNEE
页码:297-304
DOI:10.1007/978-3-642-41407-7_29
关键词:Edge detection; Edge growing; FFT; Image processing
摘要:Edge detection is the basic computation in image segmentation, feature extraction and image matching. Most of the existing detection algorithms extract edges through a convolution operation in the spatial domain, which may loose the overall characteristics of the image and make the resulted edges uncompleted and unbalanced. In this paper we proposed a novel edge detection algorithm using the FFT procedure. A simple edge model and a systemic extraction steps are described. In the experiments, we compared the edges extracted by our method with those by three classical algorithms of Sobel, Prewitt and Roberts, where we use Canny's results as benchmarks. The experiments illustrate that edges produced by our algorithm are accurate, complete and balanced. © Springer-Verlag Berlin Heidelberg 2014.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84958535484&doi=10.1007%2f978-3-642-41407-7_29&partnerID=40&md5=59416b37439a4a053a6cf39b6d672161
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