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Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

In this paper we present a method for automatic extraction of shape features, called crest lines. Shape features are important because they provide an alternative to describing an object, using its most important characteristics and reduce the amount of information stored. The algorithm is comprised of a curvature approximation technique, crest point classification and a crest lines tracing algorithm.

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© 2003 Springer-Verlag Berlin Heidelberg

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Stylianou, G., Farin, G. (2003). Shape Feature Extraction. In: Farin, G., Hamann, B., Hagen, H. (eds) Hierarchical and Geometrical Methods in Scientific Visualization. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55787-3_16

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  • DOI: https://doi.org/10.1007/978-3-642-55787-3_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62801-6

  • Online ISBN: 978-3-642-55787-3

  • eBook Packages: Springer Book Archive

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