DocumentCode :
2727427
Title :
A novel Hough transform for curve detection
Author :
Wu, Paul S. ; Li, Ming
Author_Institution :
Dept. of Manuf. Eng., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume :
4
fYear :
1996
fDate :
14-17 Oct 1996
Firstpage :
2722
Abstract :
A novel dynamic Hough transform is introduced as a computationally efficient way of implementing the Hough transform for detecting two dimensional curves with arbitrary shapes. Neither prior knowledge nor analytical nature of the curve are necessary. This method uses binary pyramid structure to alleviate computational complexity. Any arbitrary edge line is approximated by an analytical function based on a rational Gaussian. The parameters of the function and the accumulated area are determined adaptively by the set of accumulated points. The densities of points in the accumulators an examined. The peak accumulation determines the existence of an edge curve and the location of it. At the end of the paper, experimental results of this method related to the palm image is presented
Keywords :
Hough transforms; computational complexity; image recognition; arbitrary shapes; binary pyramid structure; computational complexity; curve detection; dynamic Hough transform; edge line; palm image; rational Gaussian; two dimensional curves; Application software; Computational complexity; Computational efficiency; Computer aided manufacturing; Computer vision; Image edge detection; Image recognition; Noise shaping; Shape; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1062-922X
Print_ISBN :
0-7803-3280-6
Type :
conf
DOI :
10.1109/ICSMC.1996.561370
Filename :
561370
Link To Document :
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