Image Edge Detection Using Nonsubsampled Contourlet Transform

被引：0
|
作者：
Ma Changxia [1 ]
Bi Ye [1 ]
Zhao Qishen [1 ]
Shan Jiankui [1 ]
Zhang Yong [1 ]
机构：
[1] Huaihai Inst Technol, Sch Comp Sci, Lianyungang 222005, Peoples R China
来源：
ADVANCED MATERIALS SCIENCE AND TECHNOLOGY, PTS 1-2 | 2011年 / 181-182卷
关键词：
Nonsubsampled Contourlet Transform; Translation Invariance; Edge detection; Generalized Nonlinear Gain; Image gradient;
D O I：
10.4028/www.scientific.net/AMR.181-182.261
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
An algorithm for image edge detection based on nonsubsampled contourlet transform (NSCT) is proposed. NSCT is multiresolutional, localized, multidirectional and anisotropic, so it can more effectively capture high dimensional singularity. Firstly, the coefficients at different scales and in different directions are obtained by image decomposition using the NSCT, then with these coefficients thresholds are adaptively set and the generalized nonlinear gain function is used to enhance the edge features with low contrast while protecting the strong contrast features from over enhancing in the NSCT domain. The experiment results show that the algorithm achieve a good effect than other algorithms.
引用
收藏
页码：261 / 266
页数：6
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