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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Convexity Recognition Using Multi-Scale Autoconvolution
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
Esa Rahtu, Univ. of Oulu, Finland
Mikko Salo, Univ. of Helsinki, Finland
Janne Heikkil?, Univ. of Oulu, Finland
This paper introduces a novel measure for object convexity using the recently introduced Multi-Scale Autoconvolution transform. The proposed measure is computationally efficient and recognizes even small errors in a convex domain. We also consider its implementation and give a complete Matlab algorithm for computing this measure for digital images. Finally, we give examples to verify its applicability and accuracy. The examples also consider convexity as a measure for complexity.
Citation:
Esa Rahtu, Mikko Salo, Janne Heikkil?, "Convexity Recognition Using Multi-Scale Autoconvolution," icpr, vol. 1, pp.692-695, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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