Ellipse Detection in Digital Image Data Using Geometric Features
Authors: Libuda, Lars and Grothues, Ingo and Kraiss, Karl-Friedrich
: Ingo Grothues
In Proceedings of First International Conference on Computer Vision Theory and Applications, p.p. 175--180, Setubal, Portugal, 2006.
Publication Date: Feb, 2006
On page(s):175--180
ISBN: 972-8865-40-6
Abstract Ellipse detection is an important task in vision based systems because many real world objects can be described by this primitive. This paper presents a fast data driven four stage filtering process which uses geometric features in each stage to synthesize ellipses from binary image data with the help of lines, arcs, and extended arcs. It can cope with partial occluded and overlapping ellipses, works fast and accurate and keeps memory consumption to a minimum.
Author Keywords
Ellipse Detection, Shape Analysis, Shape Representation, Image Analysis
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Bibtex
@INPROCEEDINGS{LiGrKr06,
AUTHOR = {Libuda, L. and Grothues, I. and Kraiss, K.-F.},
TITLE = {Ellipse Detection in Digital Image Data Using Geometric Features},
YEAR = {2006},
MONTH = {Feb},
PAGES = {175--180},
ADDRESS = {Setubal, Portugal},
BOOKTITLE = {Proceedings of First International Conference on Computer Vision Theory
and Applications},
ISBN = {972-8865-40-6},
KEYWORDS = {Ellipse Detection, Shape Analysis, Shape Representation, Image Analysis},
URL = {https://www.comnets.rwth-aachen.de}
}