Segmentation using vector-attribute filters: methodology and application to dermatological imaging
Identifieur interne : 004445 ( Hal/Corpus ); précédent : 004444; suivant : 004446Segmentation using vector-attribute filters: methodology and application to dermatological imaging
Auteurs : Benoît Naegel ; Nicolas Passat ; Nicolas Boch ; Michel KocherSource :
Abstract
Attribute-based filters can be involved in analysis and processing of images by considering attributes of various kinds (quantitative, qualitative, structural). Despite their potential usefulness, they are quite infrequently considered in the development of real applications. A cause of this underuse is probably the difficulty to determine correct parameters for non-scalar attributes in a fast and efficient fashion. This paper proposes a general definition of vector-attribute filters for grey-level images and describes some solutions to perform detection tasks using vector-attributes and parameters determined from a learning set. Based on these elements, an interactive segmentation method for dermatological application has been developed.
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ISMM 2007, Oct 2007, Rio de Janeiro, Brazil. 2007, Proceedings of the 8th International Symposium on Mathematical Morphology</idno><idno type="halRef">Banon, Gerald Jean Francis and Barrera, Junior and Braga-Neto, Ulisses de Mendona and Hirata, Nina Sumiko Tomita. 8th International Symposium on Mathematical Morphology - ISMM 2007, Oct 2007, Rio de Janeiro, Brazil. 2007, Proceedings of the 8th International Symposium on Mathematical Morphology</idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="UNIV-STRASBG1">Université Louis Pasteur - Strasbourg I</idno><idno type="stamp" n="UNIV-STRASBG">Université de Strasbourg</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - 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ISMM 2007</title><date type="start">2007-10-10</date><settlement>Rio de Janeiro</settlement><country key="BR">Brazil</country></meeting><respStmt><resp>conferenceOrganizer</resp><name>Universidade de Sao Paulo (USP)</name></respStmt><editor>Banon, Gerald Jean Francis and Barrera, Junior and Braga-Neto, Ulisses de Mendona and Hirata, Nina Sumiko Tomita</editor><imprint><biblScope unit="serie">Proceedings of the 8th International Symposium on Mathematical Morphology</biblScope><date type="datePub">2007</date></imprint></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><keywords scheme="author"><term xml:lang="it">vector-attribute filters</term><term xml:lang="it">component-trees</term><term xml:lang="it">segmentation</term><term xml:lang="it">dermatological imaging</term></keywords><classCode scheme="halDomain" n="info.info-im">Computer Science [cs]/Medical Imaging</classCode><classCode scheme="halDomain" n="info.info-ti">Computer Science [cs]/Image Processing</classCode><classCode scheme="halTypology" n="COMM">Conference papers</classCode></textClass><abstract xml:lang="en">Attribute-based filters can be involved in analysis and processing of images by considering attributes of various kinds (quantitative, qualitative, structural). Despite their potential usefulness, they are quite infrequently considered in the development of real applications. A cause of this underuse is probably the difficulty to determine correct parameters for non-scalar attributes in a fast and efficient fashion. This paper proposes a general definition of vector-attribute filters for grey-level images and describes some solutions to perform detection tasks using vector-attributes and parameters determined from a learning set. Based on these elements, an interactive segmentation method for dermatological application has been developed.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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