11 January 2005 Differential Haar-Gaussian wavelet transform and its application to edge detection with large depth of focus
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Proceedings Volume 5642, Information Optics and Photonics Technology; (2005); doi: 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, 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); doi: 10.1117/12.574295; https://doi.org/10.1117/12.574295
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KEYWORDS
Wavelet transforms

Wavelets

Edge detection

Computing systems

Charge-coupled devices

Convolution

Detection and tracking algorithms

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