DocumentCode
1731819
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
fYear
1988
Firstpage
776
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28356
Filename
28356
Link To Document