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Sieves decompose one dimensional bounded functions, e.g. f to a set of increasing scale granule functions {d r }...
Abstract. Sieves decompose one dimensional bounded functions, e.g. f to a set of increasing scale granule functions {dr }~=1' that represent the information ...
Experiments show that a more general inverse exists such that an analytical proof of this inverse has been obtained and this key property could prove ...
An analytical proof of this inverse is presented. This key property could prove important for feature recognition and opens the way for an analysis of the noise ...
J. Andrew Bangham, Pierre Chardaire, Paul D. Ling: The Multiscale Morphology Decomposition Theorem. ISMM 1994: 179-184.
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Properties of multiscale morphological filters namely the morphology decomposition theorem. P Chardaire, JA Bangham, CJ Pye, DQ Wu. School of Computing ...
By applying morphological multiscale decomposition (MSD) [41] an image containing fused regions is decomposed into size-specific scales, each carrying markers ...
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Properties of multiscale morphological filters namely the morphology decomposition theorem. tPierre Chardaire, tJ. Andrew Bangham, tC. Jeremy Pye and DeQuan ...
Unlike the Gaussian and Laplacian pyramids, they provide a complete image representation and perform a decomposition according to both scale and orientation.
Since this method is based on the analysis of the morphological-scale space, generated by iterative erosion, it is independent on the size of cell clusters.