Title :
A fast skeletonization algorithm using derived grids
Author :
Gong, WeiXin ; Bertrand, Gillea
Author_Institution :
Lab. Intelligence Artificielle et Analyse d´´Images, ESIEE, Noisy-Le-Grand, France
Abstract :
A fast algorithm for skeletonization is presented. A derived grid and derived object are used to get a well-defined skeleton. This skeleton has several properties: one-point thickness, good centering, preservation of the object topological properties, reconstruction of the object from its skeleton. The construction of the skeleton involves three steps: first a distance function is constructed from the derived object, then basic points are determined, and finally, connecting paths are realized between these basic points. The algorithm needs only four sequential scans through the image and a following of the connecting paths
Keywords :
computerised pattern recognition; computerised picture processing; topology; binary images; centering; computerised pattern recognition; computerised picture processing; connecting paths; derived grids; distance function; fast skeletonization algorithm; object topological properties; one-point thickness; Algorithm design and analysis; Biological cells; Grid computing; Image reconstruction; Joining processes; Noise figure; Printed circuits; Skeleton;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28356