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Optoelectronics Letters

, Volume 5, Issue 5, pp 397–400 | Cite as

Fast detection of multi-circle with randomized Hough transform

  • Lian-yuan Jiang (蒋联源)
Article

Abstract

Randomized Hough transform (RHT) is an effective method for circle detection. But when dealing with multi-circle complex images, the random sampling will bring lots of invalid accumulations and result in a large number of calculations. In this paper, by selecting three points of the candidate circle, a fast detection algorithm of multi-circle with randomized Hough transform is presented. Experimental results demonstrate that the proposed scheme can quickly detect multiple circles, and has a strong robustness.

Keywords

Image Point Synthetic Image Neighborhood Information Strong Robustness Circle Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Tianjin University of Technology and Springer Berlin Heidelberg 2009

Authors and Affiliations

  1. 1.Department of Computer EngineeringGuangxi University of TechnologyLiuzhouChina

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