Title :
Coarse-to-fine skeletons from grey-level pyramids
Author :
Borgefors, Gunilla ; Ramella, Giuliana ; Baja, Gabriella Sanniti Di
Author_Institution :
Centre for Image Anal., SLU, Uppsala, Sweden
Abstract :
Coarse-to-fine skeletons of digital patterns in binary images are computed on a grey-level pyramid. This is built in such a way that pattern shape and topology are preserved at all resolution levels, as faithfully as possible. A key problem is spurious holes, created at lower resolutions by region merging, that would originate spurious loops in coarse skeletons. This is solved by a novel technique exploiting the grey-level pyramid
Keywords :
computer vision; formal logic; topology; binary images; coarse-to-fine skeletons; digital patterns; grey-level pyramids; spurious holes; spurious loops; topology; Data mining; Geometry; Image analysis; Image resolution; Logic; Merging; Pixel; Shape; Skeleton; Topology;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711165