1 July 1996 Morphological scale-space preserving transforms in many dimensions
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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.
J. Andrew Bangham, J. Andrew Bangham, Richard W. Harvey, Richard W. Harvey, Paul D. Ling, Paul D. Ling, R. V. Aldridge, 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 . Submission:
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