Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patcog.2006.10.009
Title: Arc-based evaluation and detection of ellipses
Authors: Qiao, Y.
Ong, S.H. 
Keywords: Angular connectivity
Connectivity
Ellipse detection
Ellipse verification
Elliptic arc
Model-based distance
Issue Date: Jul-2007
Source: Qiao, Y.,Ong, S.H. (2007-07). Arc-based evaluation and detection of ellipses. Pattern Recognition 40 (7) : 1990-2003. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2006.10.009
Abstract: We propose the use of elliptic arcs as a reliable criterion for ellipse evaluation and reconstruction. A technique based on pixel connectivity is developed for detecting the endpoints and subtended angles of elliptic arcs. Model-based distance and angular connectivity are introduced for quick and meaningful estimation of elliptic arcs. An iterative algorithm for multiple-ellipse fitting based on arc detection is presented. Experimental results confirm the robustness and accuracy of the algorithm for the fitting of multiple overlapping ellipses. © 2006 Pattern Recognition Society.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/55143
ISSN: 00313203
DOI: 10.1016/j.patcog.2006.10.009
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