Robust Circle Detection

Authors:
B. Lamiroy;L. Fritz;O. Gaucher
Affiliations:
Nancy Université - INPL - LORIA, France;Nancy Université - INPL - LORIA, France;Nancy Université - INPL - LORIA, France
Venue:
ICDAR '07 Proceedings of the Ninth International Conference on Document Analysis and Recognition - Volume 01
Year:
2007

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Abstract

In this paper we present a method of robustly detect cir- cles 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 mini- mization, and uses techniques that are inspired from object tracking in image sequences. Note : some details of the illustrations in this paper are in colour. Reading them on a greylevel printout will reduce their intelligibility.