Title :
Automatic evaluation of skeleton shapes
Author :
Lam, Louisa ; Suen, Ching Y.
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
fDate :
30 Aug-3 Sep 1992
Abstract :
While the design of skeletonization algorithms has been a very active research area, methodologies for an automatic evaluation of the quality of the results remain to be developed. The attempt here is to develop distance measures based on shape matching methods, and to compare skeletons references in terms of these distances. Three such methods have been adapted for this purposes, and the results are found to be highly correlated for the samples tested
Keywords :
computer vision; image recognition; automatic evaluation; distance measures; shape matching methods; skeleton shapes; skeletonization algorithms; Algorithm design and analysis; Computer vision; Humans; Iterative algorithms; Iterative methods; Machine intelligence; Pattern recognition; Shape measurement; Skeleton; Testing;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201788
