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Convexity recognition using multi-scale autoconvolution

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3 Author(s)
Rahtu, E. ; Dept. of Electr. Eng., Oulu Univ., Finland ; Salo, M. ; Heikkila, J.

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.

Published in:

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on  (Volume:1 )

Date of Conference:

23-26 Aug. 2004