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