IMAGE EDGE DETECTION BASED ON WAVELET TRANSFORM AND CANNY OPERATOR

被引：4
|
作者：
Deng, Cai-Xia [1 ]
Bai, Ting-Ting [1 ]
Geng, Ying [1 ]
机构：
[1] Harbin Univ Sci & Technol, Appl Sci Coll, Harbin 150080, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION | 2009年
关键词：
Wavelet transform; Edge detection; Canny operator;
D O I：
10.1109/ICWAPR.2009.5207469
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A method for image edge detection based on image fusion is presented in this paper. Since traditional Wavelet transforms are unable to control the noise well and the edge is not consistent with direction properties, some improvements. are made and a new kind of wavelet transform is proposed. It detects the edge of original image by means of new wavelet transform and Canny operator respectively, then produces a new image by fusing and analyzing the two results based on the experimental results. It is shown that the proposed method provides clearer and smoother edges than that using Sobel or wavelet transformation algorithms alone. This algorithm is simple, useful and easy to implement.
引用
收藏
页码：355 / 359
页数：5
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