DocumentCode
419613
Title
Convexity recognition using multi-scale autoconvolution
Author
Rahtu, Esa ; Salo, Mikko ; Heikkilä, Janne
Author_Institution
Dept. of Electr. Eng., Oulu Univ., Finland
Volume
1
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
692
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334271
Filename
1334271
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