Title :
Image scale-smoothing, scale-differentiating and binarizing: a new frame for general-scale-edge (GSE) extraction
Author :
Miao, Jun ; Gao, Wen ; Ma, Chunling ; Chen, Yiqiang
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
Abstract :
Traditional edge detectors are almost all based on the frame of Smoothing plus Differentiating plus Binarizing, some of which such as Canny can not provide rich description for edge information as well as can not make exact edge localization. In this paper, a new concept of General-Scale-Edge (GSE) is proposed and defined, and a novel frame for GSE extraction is constructed. Experimental results show that the proposed approach can exactly extract edges at various scales as well as provide rich forms for the description of edge information in images
Keywords :
edge detection; feature extraction; Canny; edge detectors; exact edge localization; general-scale-edge extraction; image scale smoothing; scale binarization; scale differentiation; Computer science; Data mining; Detectors; Humans; Image edge detection; Image recognition; Laboratories; Lenses; Pixel; Smoothing methods;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973700
