DocumentCode :
496372
Title :
A 1-D RHT Method Based on Symmetry Point Searching Used in Ellipse Detection
Author :
Yu, Haibin ; Liu, Yuanyuan ; Chen, Keming
Author_Institution :
Coll. of Electron. & Inf., Hangzhou Dianzi Univ., Hangzhou, China
Volume :
1
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
902
Lastpage :
904
Abstract :
A 1-D RHT method based on symmetry point searching for ellipse detection is presented in this paper. In this method, three undetermined parameters of the candidate ellipse would be determined by two axisymmetric points and one central symmetry point. The acquisition of the group of symmetric points mentioned above could complete the ellipse detection by using only one dimension accumulation array in parameter space and the demand of the integrity of the ellipse could be largely reduced because of the high possibility of the existence of the group of symmetric points. In addition, the effect of the distortion on the validation of the candidate ellipses would be effectively overcome by the introduction of the validation method based on the ellipse generation and dilation matching.
Keywords :
Hough transforms; computational geometry; image matching; object detection; 1D randomized Hough transform method; axial symmetry properly; central symmetry properly; dilation matching; ellipse detection; ellipse generation; ellipse object image; one dimension accumulation array; symmetry point searching; Data mining; Educational institutions; Image sampling; Laboratories; Noise robustness; Optimization methods; Parameter estimation; Sampling methods; Time factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.406
Filename :
5193839
Link To Document :
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