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The Polar Distance Transform by Fast-Marching
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis.
2008 (English)In: Proceedings of 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, December 2008, IEEE computer society , 2008Conference paper, Published paper (Refereed)
Abstract [en]

Image analysis tools that process the image using polar coordinates are needed to avoid the interpolation from polar to cartesian coordinates. We present a tool for analysing and processing circular objects – the polar distance transform computed by fast-marching. The fast marching method can be used for computing the grey-weighted distance transform by numerically approximating the Eikonal differential equation. We modify the Eikonal equation using weights that depend on the radius and angle relative to a pre-defined coordinate system.

Place, publisher, year, edition, pages
IEEE computer society , 2008.
Series
IEEE proceedings, ISSN 1051-4651 ; IEEE Catalog Number: CFP08182
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-88021ISBN: 978-1-4244-2175-6 (print)OAI: oai:DiVA.org:uu-88021DiVA: diva2:134174
Available from: 2009-01-19 Created: 2009-01-19 Last updated: 2015-01-16Bibliographically approved

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Strand, Robin

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