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On Geometric Transformations of Local Structure Tensors
Dept. of biomedical engineering, Linköpings universitet. (Medical informatics)
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. (Centre for image analysis)ORCID iD: 0000-0002-4405-6888
Dept. of biomedical engineering, Linköpings universitet. (Medical informatics)
Dept. of biomedical engineering, Linköpings universitet. (Medical informatics)
2009 (English)In: Tensors in Image Processing and Computer Vision / [ed] Santiago Aja-Fernandez, Rodrigo de Luis Garcia, Dacheng Tao, Xuelong Li, London: Springer , 2009, 1, 179-193 p.Chapter in book (Other academic)
Abstract [en]

The structure of images has been studied for decades and the use of local structure tensor fields appeared during the eighties [3, 14, 6, 9, 11]. Since then numerous varieties of tensors and estimation schemes have been developed. Tensors have for instance been used to represent orientation [7], velocity, curvature [2] and diffusion [19] with applications to adaptive filtering [8], motion analysis [10] and segmentation [17]. Even though sampling in non-Cartesian coordinate system are common, analysis and processing of local structure tensor fields in such systems is less developed. Previous work on local structure in non-Cartesian coordinate systems include [21, 16, 1, 18].

Place, publisher, year, edition, pages
London: Springer , 2009, 1. 179-193 p.
Series
Advances in Pattern Recognition, ISSN 1617-7916
National Category
Computer Vision and Robotics (Autonomous Systems)
Research subject
Computerized Image Analysis
Identifiers
URN: urn:nbn:se:uu:diva-111491DOI: 10.1007/978-1-84882-299-3_8ISBN: 978-1-84882-298-6 (print)OAI: oai:DiVA.org:uu-111491DiVA: diva2:281385
Available from: 2009-12-15 Created: 2009-12-15 Last updated: 2018-01-12Bibliographically approved

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Publisher's full texthttp://www.springerlink.com/content/q07vwj661603j084/

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Brun, Anders

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