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