The improved method for image edge detection based on wavelet transform with modulus maxima

被引：3
|
作者：
Wang, Fuyan [1 ]
Chen, Min [2 ]
Fei, Qingshui [2 ]
机构：
[1] Kunming Univ, Informat & Technol Coll, Kunming, Peoples R China
[2] Yunnan Univ, Informat Coll, Kunming, Peoples R China
来源：
ADVANCES IN APPLIED SCIENCES AND MANUFACTURING, PTS 1 AND 2 | 2014年 / 850-851卷
关键词：
wavelet transform; edge detection; modulus maximum;
D O I：
10.4028/www.scientific.net/AMR.850-851.897
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The improved method for image edge detection based on wavelet transform modulus maxima included following steps: wavelet transform was adopted to compute local modulus maximum of edge and noise. Based on the differences between wavelet transforms of edge and noise, the separation of noise and edge was achieved by detecting local modulus maximum with quadratic discriminate method. Simulation results indicate that the inconsistency between high precision localization and high denoising ability existing in traditional edge detection algorithm could be resolved by means of the algorithm.
引用
收藏
页码：897 / +
页数：2
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