In this paper, we propose a method for detecting circular shapes with subpixel accuracy. First, the geometric properties of circles have been used to find the diameters as well as the circumference pixels. The center and radius are then estimated by the circumference pixels. Both synthetic and real images have been tested by the proposed method. The experimental results show that the new method is efficient.
Wu, W., & Yu, V. W. (2009). Subpixel Detection of Circular Objects using Geometric Property. International Journal of Mathematical and Computational Sciences, 3(8), pp. 572-576. World Academy of Science, Engineering and Technology.
Business and Information Technology
Keywords and Phrases
Circle detection; Circular objects; Circular shape; Geometric properties; Hough transformation; Least squares estimation; Real images; Subpixel; Subpixel accuracy; Subpixel detection; Hough Transformation; Sub pixels; Pixels; Engineering; Technology
International Standard Serial Number (ISSN)
Article - Journal
© 2009 World Academy of Science, Engineering and Technology, All rights reserved.
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01 Aug 2009
This paper is partially supported by National Science Council, ROC under grant no. NSC 97-2221-E-214-040 and NSC 97-2918-I-214-002.