Title :
Applications of the region growing Euclidean distance transform: anisotropy and skeletons
Author :
Cuisenaire, Olivier ; Macq, Benoit
Author_Institution :
Lab. of Telecommun. & Remote Sensing, Univ. Catholique de Louvain, Belgium
Abstract :
A new region growing algorithm has been proposed for computing Euclidean distance maps in a time comparable to widely used chamfer distance transform. We show how this algorithm can be extended to more complex tasks such as the computation of distance maps on anisotropic grids and the generation of a new type of Euclidean skeletons
Keywords :
image representation; image segmentation; mathematical morphology; transforms; Euclidean distance maps; Euclidean skeletons; anisotropic grids; anisotropy; binary objects representation; chamfer DT; chamfer distance transform; image scanning; morphological skeletons; region growing Euclidean distance transform; Anisotropic magnetoresistance; Biomedical imaging; Euclidean distance; Grid computing; Laboratories; Mesh generation; Pixel; Remote sensing; Skeleton; Telecommunication computing;
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
DOI :
10.1109/ICIP.1997.647446
