Multiscale watersheds and pattern recognition in images

Stephen J. Impey; Bogdan Paul Dobrin; J. Andrew Bangham; Moncef Gabbouj

doi:10.1117/12.205236

28 March 1995 Multiscale watersheds and pattern recognition in images

Stephen J. Impey, Bogdan Paul Dobrin, J. Andrew Bangham, Moncef Gabbouj

Proceedings Volume 2424, Nonlinear Image Processing VI; (1995) https://doi.org/10.1117/12.205236
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1995, San Jose, CA, United States

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.

Citation Download Citation

Stephen J. Impey, Bogdan Paul Dobrin, J. Andrew Bangham, and Moncef Gabbouj "Multiscale watersheds and pattern recognition in images", Proc. SPIE 2424, Nonlinear Image Processing VI, (28 March 1995); https://doi.org/10.1117/12.205236

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