Application of Haar-Gaussian wavelet transform to edge-detection

被引：5
|
作者：
Song, FJ [1 ]
Zhao, WJ
Jutamulia, S
Song, JL
Yao, SY
Wang, D
机构：
[1] Chinese Acad Sci, China Daheng Grp Inc, Beijing 100086, Peoples R China
[2] Lanzhou Jiaotong Univ, Inst Math Phys & Software Engineer, Lanzhou 730070, Peoples R China
[3] Univ No Calif, Opt & Photon Engn Dept, Petaluma, CA 94954 USA
[4] No Jiaotong Univ, Inst Comp, Beijing 100044, Peoples R China
来源：
ACTA PHYSICA SINICA | 2003年 / 52卷 / 12期
关键词：
wavelet transform; edge detection; uncertainty principle; telecentric system; pattern recognition; automatic inspection;
D O I：
10.7498/aps.52.3055
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The Haar-Gaussian wavelet transform is applied to analyze the pattern edges in the frequency domain and to establish a physical model for the edge detection. The bandwidth-matching algorithm is proposed. A telecentric optics is used to achieve a high-precision edge detection results with large-depth of focus.
引用
收藏
页码：3055 / 3060
页数：6
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