Segmentation using vector-attribute filters: methodology and application to dermatological imaging

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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Communication dans un congrès
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
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Contributeur : Benoît Naegel <>
Soumis le : mercredi 14 novembre 2007 - 09:00:27
Dernière modification le : jeudi 11 janvier 2018 - 06:20:29
Document(s) archivé(s) le : lundi 24 septembre 2012 - 15:25:21

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  • HAL Id : inria-00187232, version 1

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Benoît Naegel, Nicolas Passat, Nicolas Boch, Michel Kocher. Segmentation using vector-attribute filters: methodology and application to dermatological imaging. 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. 〈inria-00187232〉

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