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Pattern Recognition, International Conference on (2004)
Cambridge UK
Aug. 23, 2004 to Aug. 26, 2004
ISSN: 1051-4651
ISBN: 0-7695-2128-2
pp: 692-695
Esa Rahtu , Univ. of Oulu, Finland
Mikko Salo , Univ. of Helsinki, Finland
Janne Heikkil? , Univ. of Oulu, Finland
ABSTRACT
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.
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CITATION

M. Salo, E. Rahtu and J. Heikkil?, "Convexity Recognition Using Multi-Scale Autoconvolution," Pattern Recognition, International Conference on(ICPR), Cambridge UK, 2004, pp. 692-695.
doi:10.1109/ICPR.2004.1334271
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