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

Ling Fan; Feijun Song; Suganda Jutamulia

doi:10.1117/12.574295

11 January 2005 Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus

Ling Fan, Feijun Song, Suganda Jutamulia

Author Affiliations +

Proceedings Volume 5642, Information Optics and Photonics Technology; (2005) https://doi.org/10.1117/12.574295
Event: Photonics Asia, 2004, Beijing, China

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.

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Ling Fan, Feijun Song, and Suganda Jutamulia "Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus", Proc. SPIE 5642, Information Optics and Photonics Technology, (11 January 2005); https://doi.org/10.1117/12.574295

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