A wavelet based algorithm for edge extraction of images

被引：0
作者：
Zhao, Jiu-Ling [1 ]
Zhao, Jiu-Fen [1 ]
Ren, De-Xin [2 ]
Yan, Su [3 ]
机构：
[1] Second Artillery Engn Inst, Xian 710025, Peoples R China
[2] Natl Univ Def Technol, Changsha 410073, Peoples R China
[3] Harbin Engn Univ, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
edge detection; edge track; wavelet transform;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, we proposed a contextual filter edge detector and a multiscale edge tracker to extract edges for further analysis of computer vision. The contextual filter detected significant edges in the finest scale gradient image. Many noised or blurred cases were suppressed with higher decision levels. The edge tracker further improves the detected results using the multiscale gradient images. Qualitative and quantitative comparisons with other methods show that the proposed approach extracts better edges than other detectors extract.
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页码：3803 / +
页数：2
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