Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
847073 | Optik - International Journal for Light and Electron Optics | 2012 | 7 Pages |
Abstract
This paper presents an efficient randomized Hough transform algorithm for circle detection. It optimizes the methods for determining sample points and finding candidate circles. Due to these two optimizations, sampling validity is improved and many false circles are prevented from being regarded as candidate circles. Experimental results demonstrate that the proposed algorithm, which features a strong robustness and high resolution, can dramatically speed up circle detection as compared to other algorithms. It can also be applied to detect ellipses.
Related Topics
Physical Sciences and Engineering
Engineering
Engineering (General)
Authors
Lianyuan Jiang,