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Proceedings Paper

Edge detection based on wavelet-domain spatial correlation thresholding
Author(s): Paul Bao; Lei Zhang
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Paper Abstract

This paper proposes a scale correlation-based edge detection scheme. A scale correlation function is defined as the product of detection filter's response at two scales. With the proper choice of detection filters such as the first derivative of Gaussian, the scale correlation will magnify the edge structures and suppress the noise. Unlike many of the multiscale techniques that first form the edge maps at several scales and then synthesize them together, in our scheme, edges are determined as the local maxima directly in the correlation function. The detection and localization criteria of the scale correlation are defined. It is shown that with little loss in detection criterion, much improvement is gained on localization criterion. Using scale correlation, the dislocation of neighboring edges is also improved when the width of detection filter is set large to smooth noise.

Paper Details

Date Published: 28 January 2002
PDF: 12 pages
Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); doi: 10.1117/12.454178
Show Author Affiliations
Paul Bao, Hong Kong Polytechnic Univ. (Hong Kong)
Lei Zhang, Hong Kong Polytechnic Univ. (Hong Kong)

Published in SPIE Proceedings Vol. 4541:
Image and Signal Processing for Remote Sensing VII
Sebastiano Bruno Serpico, Editor(s)

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