Comparative study of Hough Transform methods for circle finding

720Citations
Citations of this article
529Readers
Mendeley users who have this article in their library.
Get full text

Abstract

A variety of circle detection methods which are based on variations of the Hough Transform are investigated. The five methods considered are the standard Hough Transform, the Fast Hough Transform of Li et al.1, a two stage Hough method, and two space saving approaches based on the method devised by Gerig and Klein2. The performance of each of the methods has been compared on synthetic imagery and real images from a metallurgical application. Figures and comments are presented concerning the accuracy, reliability, computational efficiency and storage requirements of each of the methods. © 1990.

Cite

CITATION STYLE

APA

Yuen, H., Princen, J., Illingworth, J., & Kittler, J. (1990). Comparative study of Hough Transform methods for circle finding. Image and Vision Computing, 8(1), 71–77. https://doi.org/10.1016/0262-8856(90)90059-E

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free