DocumentCode :
2412397
Title :
Introducing the select and split fuzzy cell Hough transform
Author :
Chatzis, Vassilios ; Pitas, Ioannis
Author_Institution :
Dept. of Inf., Thessaloniki Univ., Greece
Volume :
2
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
552
Abstract :
In this paper a new variation of Hough transform is proposed. The parameter space of Hough transform is recursively roughly split into fuzzy cells which are defined as fuzzy numbers. This fuzzy partition of the parameter space provides the advantage to use the uncertainty of the contour points location, which is increased when noisy images have to be used. It can be used to detect contours in an image, with better accuracy, especially in noisy images. Moreover, the regions of the parameter space having no contours are rejected during the iterations. As a result the computation time is significantly decreased
Keywords :
Hough transforms; computational complexity; edge detection; fuzzy set theory; iterative methods; computation time; fuzzy numbers; fuzzy partition; image contour detection; iteration; parameter space; recursive rough splitting; select-and-split fuzzy cell Hough transform; Application software; Computer vision; Equations; Fuzzy set theory; Fuzzy sets; Informatics; Iterative algorithms; Niobium; Shape; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546885
Filename :
546885
Link To Document :
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