DocumentCode :
2023182
Title :
Robust Circle Detection
Author :
Lamiroy, Bart ; Gaucher, Olivier ; Fritz, Laurent
Author_Institution :
Nancy Univ., Nancy
Volume :
1
fYear :
2007
fDate :
23-26 Sept. 2007
Firstpage :
526
Lastpage :
530
Abstract :
In this paper we present a method of robustly detect circles in a line drawing image. The method is fast, robust and very reliable, and is capable of assessing the quality of its detection. It is based on Random Sample Consensus minimization, and uses techniques that are inspired from object tracking in image sequences.
Keywords :
feature extraction; image sequences; minimisation; object detection; image sequences; line drawing image; object tracking; random sample consensus minimization; robust circle detection; Convergence; Image quality; Image recognition; Image segmentation; Image sequences; Least squares approximation; Least squares methods; Robustness; Text analysis; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
ISSN :
1520-5363
Print_ISBN :
978-0-7695-2822-9
Type :
conf
DOI :
10.1109/ICDAR.2007.4378765
Filename :
4378765
Link To Document :
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