Referenced Items are not available for this document.
Extraction of skeletal shape from a 2D dot pattern is discussed. We use a self-organizing neural network model to get a piecewise linear approximation of a skeleton of the pattern. It is found that even without a proper definition of a skeleton, the proposed algorithm is able to produce skeletons that are quite close to what we intuitively feel it should be. In Kohonen's self-organizing model, the set of processors and their neighbourhoods are fixed. We suggest here some modifications of it in which the set of processors and their neighbourhoods change adaptively
Published in:
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
(Volume:4
)
Date of Conference: 25-29 Aug 1996
- Page(s):
- 80 - 84 vol.4
- Meeting Date :
- 25 Aug 1996-29 Aug 1996
- ISSN :
- 1051-4651
- Print ISBN:
- 0-8186-7282-X
- INSPEC Accession Number:
- 5456598
- Conference Location :
- Vienna
- Digital Object Identifier :
- 10.1109/ICPR.1996.547238
- Product Type:
- Conference Publications
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