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Proceedings Paper

Multiscale watersheds and pattern recognition in images
Author(s): Stephen J. Impey; Bogdan Paul Dobrin; J. Andrew Bangham; Moncef Gabbouj
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Paper Abstract

Normalized cross-correlation is a standard way of looking for examples of a target in an image. A way to avoid scanning the entire image is explored. It exploits the observation that in the locality of a target object, the watershed of a smoothed image is similar to the watershed of a smoothed image of the target. Therefore, it is only necessary to align the target watershed with the image watershed and track the one along the other. This can be faster than scanning the entire image.

Paper Details

Date Published: 28 March 1995
PDF: 8 pages
Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); doi: 10.1117/12.205236
Show Author Affiliations
Stephen J. Impey, Univ. of East Anglia (United Kingdom)
Bogdan Paul Dobrin, Tampere Univ. of Technology (Finland)
J. Andrew Bangham, Univ. of East Anglia (United Kingdom)
Moncef Gabbouj, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 2424:
Nonlinear Image Processing VI
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham; Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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