Article
Subpixel Detection of Circular Objects using Geometric Property
International Journal of Mathematical and Computational Sciences
Abstract
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.
Department(s)
Business and Information Technology
Comments
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.
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
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2009 World Academy of Science, Engineering and Technology, All rights reserved.
Creative Commons Licensing
Creative Commons Attribution 4.0
Publication Date
8-1-2009
Publication Date
01 Aug 2009
Disciplines
Citation Information
Wen-Yen Wu and Vincent Wen-Bin Yu. "Subpixel Detection of Circular Objects using Geometric Property" International Journal of Mathematical and Computational Sciences Vol. 3 Iss. 8 (2009) p. 572 - 576 ISSN: 2010-376X; 2010-3778 Available at: http://works.bepress.com/vincent-yu/16/