微分Haar-Gaussian小波变换在大景深物体边缘测量中的应用  

Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus

作　　者：范玲[1] 宋菲君[2] 

机构地区：[1]北京邮电大学电子工程学院,北京100876 [2]北京交通大学理学院物理系,北京100044

出　　处：《光学技术》2006年第3期403-405,共3页Optical Technique

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。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 Doth 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.

关 键 词：光学测量 小波变换 边缘测量 自动检测 远心系统 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TN911.73[自动化与计算机技术—计算机科学与技术]