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Journal of Electronic Imaging

Morphological scale-space preserving transforms in many dimensions
Author(s): J. Andrew Bangham; Richard W. Harvey; Paul D. Ling; R. V. Aldridge
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Paper 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.

Paper Details

Date Published: 1 July 1996
PDF: 17 pages
J. Electron. Imaging. 5(3) doi: 10.1117/12.243349
Published in: Journal of Electronic Imaging Volume 5, Issue 3
Show Author Affiliations
J. Andrew Bangham, Univ. of East Anglia (United Kingdom)
Richard W. Harvey, Univ. of East Anglia (United Kingdom)
Paul D. Ling, Univ.of East Anglia (United Kingdom)
R. V. Aldridge, Univ. of East Anglia (United Kingdom)


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