DocumentCode :
2699702
Title :
A novel circle detector based on sub-image point pairs
Author :
Chen, Guodong ; Ji, Junhong ; Sun, Lining
Author_Institution :
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
661
Lastpage :
666
Abstract :
In this paper a novel circle detector that can be used in real image processing is proposed. Since the drawbacks of standard Hough transform (SHT) and other circle detection methods such as least square method require large computation and the large storage, the new method is proposed to reduce computation cost and storage requirement. First, edge image is divided into several sub-images by the properties of circle, and then point pairs are chosen from the sub-images to calculate the parameters of circles. Second a data merging method is used to process the parameters. At last, both synthetic and real images are processed with the proposed method, the experimental results show that the proposed detector is capable of detecting circle features with superior accuracy under various image conditions.
Keywords :
edge detection; circle detection method; data merging method; edge image detection method; real image processing; sub image point pair; Computational efficiency; Computer vision; Detectors; Image edge detection; Image processing; Laboratories; Pattern recognition; Robotics and automation; Robustness; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4608081
Filename :
4608081
Link To Document :
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