DocumentCode
3058453
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
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
342
Lastpage
345
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICPR.1992.201788
Filename
201788
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