Pattern Recognition, International Conference on (2004)
Aug. 23, 2004 to Aug. 26, 2004
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.
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.