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Proceedings Paper

Fast circle detection based on improved randomized Hough transform
Author(s): Dongchen Shi; Bo Zhang; Ning Wang
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Paper Abstract

To solve the problem of a large amount of invalid sample and accumulations yielded by random sampling when randomized hough transform (RHT) is used to detect circles in complex images processing, an new improved arithmetic for circle detection is developed in this paper. It not only uses gradient direction information to determine whether the three sampling points should be accumulated or not, but also uses the regular hexagon window to narrow the searching range of pixels to improve the operating speed. The problem of invalid sampling and accumulations and multi-circle detection is well solved. The experiment results show that this algorithm has higher speed, smaller storage and better detection performance.

Paper Details

Date Published: 21 August 2014
PDF: 6 pages
Proc. SPIE 9285, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials for Manufacturing and Testing, 92850H (21 August 2014); doi: 10.1117/12.2068644
Show Author Affiliations
Dongchen Shi, Xi’an Univ. of Technology (China)
Bo Zhang, East Univ. of HeiLongJiang (China)
Ning Wang, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 9285:
7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials for Manufacturing and Testing
Xiangang Luo; Harald Giessen, Editor(s)

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