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微分Haar-Gaussian小波变换在大景深物体边缘测量中的应用
引用本文:范玲,宋菲君.微分Haar-Gaussian小波变换在大景深物体边缘测量中的应用[J].光学技术,2006,32(3):403-405.
作者姓名:范玲  宋菲君
作者单位:1. 北京邮电大学,电子工程学院,北京,100876;北京交通大学,理学院物理系,北京,100044
2. 中国科学院大恒集团有限公司,北京,100086
摘    要:提出了微分Haar_Gaussian小波变换算法并将其应用于边缘检测,在空域和频域中进行变换,并应用带宽匹配方法和远心测量光学系统,提高了运算速度,通过对实际大景深物体离焦像的边缘测量,得到了准确的结果。

关 键 词:光学测量  小波变换  边缘测量  自动检测  远心系统
文章编号:1002-1582(2006)03-0403-03
收稿时间:2006/1/11
修稿时间:2006年1月11日

Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus
FAN Ling,SONG Fei-jun.Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus[J].Optical Technique,2006,32(3):403-405.
Authors:FAN Ling  SONG Fei-jun
Abstract:A new wavelet transform was proposed,which was the differential Haar-Gaussian wavelet transform.This new wavelet transform was applied to the edge detection,which was processed in both spatial and the frequency domains.The bandwidth-matching algorithm and the telecentric optics were used to achieve fast calculation,and to produce high-precision edge detection results with large depth of focus.
Keywords:optical measurement  wavelet transform  edge detection  automatic inspection  telecentric system
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