Title :
Fuzzy cell hough transform
Author :
Chatzis, Vassilios ; Pitas, Ioannis
Author_Institution :
Department of Informatics, University of Thessaloniki, 54006 Thessaloniki, Greece
Abstract :
In this paper a new variation of Hough Transform is proposed. It can be used to detect shapes or curves in an image, with better accuracy, especially in noisy images. It is based on a fuzzy split of the Hough Transform parameter space. The parameter space is split into fuzzy cells which are defined as fuzzy numbers. This fuzzy split 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. Moreover the computation time is slightly increased by this method, in comparison with classical Hough Transform.
Keywords :
Arrays; Erbium; Estimation error; Fuzzy sets; Noise; Transforms;
Conference_Titel :
European Signal Processing Conference, 1996. EUSIPCO 1996. 8th
Conference_Location :
Trieste, Italy
Print_ISBN :
978-888-6179-83-6