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

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

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- Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus
- Issue 3, Pages: 403-405(2006)
- 作者机构：
  
  1. 1:北京邮电大学电子工程学院
  2. 2:北京交通大学理学院物理系,北京,100876
  3. 3,北京,100044
- 作者简介：
- 基金信息：
- DOI：
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- Published：2006
- 稿件说明：
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Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus[J]. 2006, (3): 403-405.
DOI：

Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus[J]. 2006, (3): 403-405. DOI：

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。

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