02526oam 2200481zu 450 991013891280332120241212215835.09781509070190150907019297807695378180769537812(CKB)2400000000003102(SSID)ssj0000452884(PQKBManifestationID)12166177(PQKBTitleCode)TC0000452884(PQKBWorkID)10472562(PQKB)10456853(NjHacI)992400000000003102(EXLCZ)99240000000000310220160829d2009 uy engur|||||||||||txtccr2009 6th International Symposium on Voronoi Diagrams[Place of publication not identified]IEEE20091 online resourceBibliographic Level Mode of Issuance: Monograph9781424447695 1424447690 In this paper, we show a graph isomorphism between a dual graph of the Delaunay graph of the sampled points and the medial axis of the sampled features. This dual graph captures the fact that two Delaunay triangles share two vertices or an edge. Then, we apply it to the computation of the medial axis of the features selected in an image. The computation of the medial axis of images is of interest in applications such as mapping, climatology, change detection, medicine, etc. This research work provides a way to automate the computation of the medial axis transform of the features of color 2D images. In color images, various features can be distinguished based on their color. The features are thus extracted as object borders, which are sampled in order to compute the medial axis transform. We present also a prototype application for the completely automated or semi-automated processing of (satellite) imagery and scanned maps. Applications include coastline extraction, extraction of fields, clear cuts, clouds, as well as heating or pollution monitoring and dense forest mapping among others.Engineering mathematicsCongressesEngineering mathematics620.00151IEEE StaffIEEE Computer Society.International Symposium on Voronoi Diagrams in Science and EngineeringPQKBPROCEEDING99101389128033212009 6th International Symposium on Voronoi Diagrams2525018UNINA