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Proceedings Paper

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

We propose a new wavelet transform, which is the differential Haar-Gaussian wavelet transform. This new wavelet transform is applied to the edge detection, which can be processed in both spatial and the frequency domains. The bandwidth-matching algorithm and the telecentric optics are used to achieve fast calculation, and to produce high-precision edge detection results with large depth of focus.

Paper Details

Date Published: 11 January 2005
PDF: 10 pages
Proc. SPIE 5642, Information Optics and Photonics Technology, (11 January 2005); doi: 10.1117/12.574295
Show Author Affiliations
Ling Fan, Beijing Univ. of Posts and Telecommunications (China)
Feijun Song, China Daheng Corp. (China)
Suganda Jutamulia, Univ. of Northern California (United States)

Published in SPIE Proceedings Vol. 5642:
Information Optics and Photonics Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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