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dc.contributor.authorCaselles, Vincent
dc.contributor.authorLisani, Jose-Luis
dc.contributor.authorMorel, Jean-Michel
dc.contributor.authorSapiro, Guillermo
dc.date.accessioned2011-05-03T07:48:07Z
dc.date.available2011-05-03T07:48:07Z
dc.date.issued1999
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/6147
dc.language.isoenen
dc.subjectConnected componentsen
dc.subjecthistogram equalizationen
dc.subjectlevel-setsen
dc.subjectlocal operationsen
dc.subjectmathematical morphologyen
dc.subject.ddc519en
dc.titleShape preserving local histogram modificationen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenA novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based both on the grey-values and spatial relations between pixels in the image, and following mathematical morphology, constitute the basic objects in the scene. We give examples for both grey-value and color images.en
dc.relation.isversionofjnlnameIEEE Transactions on Image Processing
dc.relation.isversionofjnlvol8en
dc.relation.isversionofjnlissue2en
dc.relation.isversionofjnldate1999
dc.relation.isversionofjnlpages220-230en
dc.relation.isversionofdoihttp://dx.doi.org/10.1109/83.743856en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherIEEEen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen


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