Morphological scale-space preserving transforms in many dimensions

J. Andrew Bangham; Richard W. Harvey; Paul D. Ling; R. V. Aldridge

doi:10.1117/12.243349

1 July 1996 Morphological scale-space preserving transforms in many dimensions

J. Andrew Bangham, Richard W. Harvey, Paul D. Ling, R. V. Aldridge

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Journal of Electronic Imaging, Vol. 5, Issue 3, (July 1996). https://doi.org/10.1117/12.243349

Abstract

The theory of an image decomposition that we refer to as a sieve is developed for images defined in any finite number of dimensions. The decomposition has many desirable properties including the preservation of scale-space causality and the localization of sharp-edged objects in the transformation domain. The decomposition has the additional properties of manipulability, which means that it is easy to construct pattern recognition systems, and scale-calibration, which means that it may be used for accurate measurement.

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J. Andrew Bangham, Richard W. Harvey, Paul D. Ling, and R. V. Aldridge "Morphological scale-space preserving transforms in many dimensions," Journal of Electronic Imaging 5(3), (1 July 1996). https://doi.org/10.1117/12.243349

Published: 1 July 1996

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