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Recovering Affine Deformations of Fuzzy Shapes
Department of Image Processing and Computer Graphics, University of Szeged, Hungary.
Department of Image Processing and Computer Graphics, University of Szeged, Hungary.
Faculty of Engineering, University of Novi Sad, Serbia.
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.
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2009 (English)In: 16th Scandinavian Conference on Image Analysis: SCIA 2009 / [ed] Arnt-Børre Salberg, Jon Yngve Hardeberg, Robert Jenssen, Berlin / Heidelberg: Springer , 2009, 735-744 p.Conference paper, Published paper (Refereed)
Abstract [en]

Fuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants.

 

Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer , 2009. 735-744 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 5575
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-111209DOI: 10.1007/978-3-642-02230-2_75ISBN: 978-3-642-02229-6 (print)OAI: oai:DiVA.org:uu-111209DiVA: diva2:279816
Conference
Scandinavian Conference on Image Analysis
Available from: 2009-12-07 Created: 2009-12-07 Last updated: 2010-03-01Bibliographically approved

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Computer Vision and Robotics (Autonomous Systems)

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