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Conference papers
Mathematical morphology for vector images using statistical depth
Abstract : The open problem of the generalization of mathematical morphology to vector images is handled in this paper using the paradigm of depth functions. Statistical depth functions provide from the "deepest" point a "center-outward ordering" of a multidimensional data distribution and they can be therefore used to construct morphological operators. The fundamental assumption of this data-driven approach is the existence of "background/foreground" image representation. Examples in real color and hyperspectral images illustrate the results.
https://hal-mines-paristech.archives-ouvertes.fr/hal-00658951
Contributor : Bibliothèque Mines Paristech <>
Submitted on : Wednesday, January 11, 2012 - 4:10:19 PM
Last modification on : Thursday, September 24, 2020 - 4:38:04 PM
Contributor : Bibliothèque Mines Paristech <>
Submitted on : Wednesday, January 11, 2012 - 4:10:19 PM
Last modification on : Thursday, September 24, 2020 - 4:38:04 PM
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