Multiresolution edge detection in noisy images using wavelet transform

被引：0

作者：

Lu, QH ^{[1
]}

Zhang, XM ^{[1
]}

机构：

[1] S China Univ Technol, Coll Mech Engn, Guangzhou 510640, Peoples R China

来源：

PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年

关键词：

multiresolution; edge detection; noisy images; wavelet transform;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The edge detection method in noisy images using multiresolution wavelet transform is presented in this paper. The noisy images are first decomposed by multiscale wavelet to different scales wavelet coefficients (horizontal, vertical, and diagonal direction), then the shifted wavelet coefficients are multiplied step by step to depress noise and detect edges. Compared to other methods, this approach not only can get rid of noise very well and decrease the number of computations, but also can detect diagonal edge information.

引用

页码：5235 / 5240

页数：6

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