Fast circle detection based on improved randomized Hough transform

Dongchen Shi; Bo Zhang; Ning Wang

doi:10.1117/12.2068644

21 August 2014 Fast circle detection based on improved randomized Hough transform

Dongchen Shi, Bo Zhang, Ning Wang

Proceedings Volume 9285, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Smart Structures and Materials for Manufacturing and Testing; 92850H (2014) https://doi.org/10.1117/12.2068644
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

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.

Citation Download Citation

Dongchen Shi, Bo Zhang, and Ning Wang "Fast circle detection based on improved randomized Hough transform", 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); https://doi.org/10.1117/12.2068644

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