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Precise Estimation of the Projection of a Shape from a Pixel Coverage Representation
Faculty of Technical Sciences, University of Novi Sad, Serbia.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Faculty of Technical Sciences, University of Novi Sad, Serbia.
2011 (English)In: Proceedings of the 7th IEEE International Symposium on Image and Signal Processing and Analysis (ISPA), IEEE Computer Society, 2011, 569-574 p.Conference paper, Published paper (Refereed)
Abstract [en]

Measuring width and diameter of a shape areproblems well studied in the literature. A pixel coverage repre-sentation is one specific type of digital fuzzy representation of acontinuous image object, where the (membership) value of eachpixel is (approximately) equal to the relative area of the pixelwhich is covered by the continuous object. Lately a number ofmethods for shape analysis use pixel coverage for reducing errorof estimation. We introduce a novel method for estimating theprojection of a shape in a given direction. The method is based onutilizing pixel coverage representation of a shape. Performance ofthe method is evaluated by a number of tests on synthetic objects,confirming high precision and applicability for calculation ofdiameter and elongation of a shape.

Place, publisher, year, edition, pages
IEEE Computer Society, 2011. 569-574 p.
Keyword [en]
Shape analysis
National Category
Medical Image Processing Discrete Mathematics
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-162654ISBN: 978-1-4577-0841-1 (print)OAI: oai:DiVA.org:uu-162654DiVA: diva2:461423
Conference
Symposium on Image and Signal Processing and Analysis (ISPA)
Available from: 2011-12-03 Created: 2011-12-03

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Centre for Image AnalysisComputerized Image Analysis and Human-Computer Interaction
Medical Image ProcessingDiscrete Mathematics

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