Title :
Convexity recognition using multi-scale autoconvolution
Author :
Rahtu, Esa ; Salo, Mikko ; Heikkilä, Janne
Author_Institution :
Dept. of Electr. Eng., Oulu Univ., 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.
Keywords :
convolution; image recognition; object recognition; set theory; Matlab algorithm; digital images; multiscale autoconvolution transform; object convexity recognition; Computer vision; Digital images; Electric variables measurement; Image analysis; Machine vision; Mathematics; Noise measurement; Probability density function; Random variables; Shape;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334271