Title :
On the Isomorphism between the Medial Axis and a Dual of the Delaunay Graph
Author :
Sharma, Ojaswa ; Anton, François ; Mioc, Darka
Author_Institution :
Dept. of Inf. & Math. Modelling, Tech. Univ. of Denmark, Lyngby, Denmark
Abstract :
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.
Keywords :
computational geometry; feature extraction; image colour analysis; mesh generation; 2D color image; Delaunay graph; coastline extraction application; dense forest mapping application; dual graph; field extraction application; graph isomorphism; heating monitoring application; image feature selection; medial axis computation; pollution monitoring application; Biomedical imaging; Color; Data mining; Geodesy; Gold; Image edge detection; Informatics; Mathematical model; Skeleton; Thermal pollution; Delaunay graph; Voronoi diagram; graph isomorphism; medial axis; topology;
Conference_Titel :
Voronoi Diagrams, 2009. ISVD '09. Sixth International Symposium on
Conference_Location :
Copenhagen
Print_ISBN :
978-1-4244-4769-5
Electronic_ISBN :
978-0-7695-3781-8
DOI :
10.1109/ISVD.2009.18