DocumentCode :
2243783
Title :
Arbitrary shape Hough transform by invariant geometric features
Author :
Aguado, Alberto S. ; Montiel, M. Eugenia ; Nixon, Mark S.
Author_Institution :
Dept. of Electron. & Comput. Sci., Southampton Univ., UK
Volume :
3
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
2661
Abstract :
The Hough transform (HT) is an established technique which evidences a shape by mapping image edge points into a parameter space. Previously, the formulation of the HT has been extended to extract analytic arbitrary shapes which change their appearance according to similarity transformations. In this paper, we discuss a more general formulation which incorporates the extraction of arbitrary shapes under more general transformations than similarity mappings. The main contributions of this paper are: we show that, in general, the complexity of the HT mapping does not depend on the complexity or irregularity of the shape to be located; and we demonstrate that the concept of invariance can provide a general principle to avoid increase in computational complexity when the HT is extended to arbitrary shapes and general transformations
Keywords :
Hough transforms; computational complexity; image processing; arbitrary shape Hough transform; image edge points; invariance; invariant geometric features; shape complexity; shape irregularity; Cameras; Computational complexity; Computer science; Geometry; Image analysis; Intelligent systems; Intersymbol interference; Robustness; Shape; Speech;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.635337
Filename :
635337
Link To Document :
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