Edge detection with large depth of focus using differential Haar-Gaussian wavelet transform

被引：7
|
作者：
Fan, Ling
Song, Feijun
Jutamulia, Suganda
机构：
[1] Univ No Calif, Petaluma, CA 94954 USA
[2] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing 100876, Peoples R China
[3] China Daheng Grp Inc, Beijing 100085, Peoples R China
[4] Beijing Jiaotong Univ, Sch Sci, Beijing 100044, Peoples R China
来源：
OPTICS COMMUNICATIONS | 2007年 / 270卷 / 02期
关键词：
wavelet transform; edge detection; automatic inspection; large depth of focus; telecentric optics;
D O I：
10.1016/j.optcom.2006.09.015
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
We propose a new differential Haar-Gaussian (DHG) wavelet transform together with the bandwidth matching algorithm to perform edge detection, which can be processed with fast computation in both spatial and frequency domains. The telecentric optics is used to produce high-precision edge detection with large depth of focus. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：169 / 175
页数：7
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