A Coarse-to-fine Approach for Circle Detection

Kelvin S.Y. Yuen; Eric K.H. Lo

doi:10.1109/SIPNN.1994.344859

A Coarse-to-fine Approach for Circle Detection

Kelvin S.Y. Yuen
, Eric K.H. Lo

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

An efficient circle detection method using a coarse-to-fine strategy is proposed. 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.

Original language	English
Title of host publication	Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks
Publisher	IEEE
Pages	523-526
ISBN (Print)	0-7803-1865-X, 978-078031865-6
DOIs	https://doi.org/10.1109/SIPNN.1994.344859
Publication status	Published - Apr 1994
Event	1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994) - Hong Kong, China Duration: 13 Apr 1994 → 16 Apr 1994

Conference

Conference	1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994)
Place	China
City	Hong Kong
Period	13/04/94 → 16/04/94

Access Output

10.1109/SIPNN.1994.344859

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{7c2f386cbce44679b5f52881485f9d11,

title = "A Coarse-to-fine Approach for Circle Detection",

abstract = "An efficient circle detection method using a coarse-to-fine strategy is proposed. 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.",

author = "Yuen, \{Kelvin S.Y.\} and Lo, \{Eric K.H.\}",

year = "1994",

month = apr,

doi = "10.1109/SIPNN.1994.344859",

language = "English",

isbn = "0-7803-1865-X",

pages = "523--526",

booktitle = "Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks",

publisher = "IEEE",

address = "United States",

note = "1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994) ; Conference date: 13-04-1994 Through 16-04-1994",

}

TY - GEN

T1 - A Coarse-to-fine Approach for Circle Detection

AU - Yuen, Kelvin S.Y.

AU - Lo, Eric K.H.

PY - 1994/4

Y1 - 1994/4

N2 - An efficient circle detection method using a coarse-to-fine strategy is proposed. 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.

AB - An efficient circle detection method using a coarse-to-fine strategy is proposed. 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.

UR - https://www.scopus.com/pages/publications/32844460552

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-32844460552&origin=recordpage

U2 - 10.1109/SIPNN.1994.344859

DO - 10.1109/SIPNN.1994.344859

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 0-7803-1865-X

SN - 978-078031865-6

SP - 523

EP - 526

BT - Proceedings of ICSIPNN '94. International Conference on Speech, Image Processing and Neural Networks

PB - IEEE

T2 - 1994 International Symposium on Speech, Image Processing and Neural Networks (ISSIPNN 1994)

Y2 - 13 April 1994 through 16 April 1994

ER -

A Coarse-to-fine Approach for Circle Detection

Abstract

Conference

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this