Title :
A coarse-to-fine approach for circle detection
Author :
Yuen, Kelvin S Y ; Lo, Eric K H
Author_Institution :
Dept. of Electron. Eng., City Polytech. of Hong Kong, Kowloon, Hong Kong
Abstract :
An efficient circle detection method using a coarse-to-fine strategy is proposed. The Hough transform is performed using a rough Hough space within a small window around a feature point which is selected using local connectivity information. Hough cells which have sufficient number of votes are retained, whilst all others are discarded. These Hough cells are refined using a finer quantization and then a larger window around the feature point is employed for another Hough transform. This process is repeated till sufficient evidence for the existence of a circle is obtained
Keywords :
Hough transforms; edge detection; search problems; Hough cells; Hough transform; circle detection; coarse-to-fine approach; feature point; local connectivity information; quantization; rough Hough space; window; Biomedical imaging; Cities and towns; Counting circuits; Image edge detection; Kelvin; Metals industry; Quantization; Refining; Shape; Voting;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344859