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Feature extraction based on a tensor image description
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
1991 (English)Licentiate thesis, monograph (Other academic)
Abstract [en]

Feature extraction from a tensor based local image representation introduced by Knutsson in [37] is discussed. The tensor representation keeps statements of structure, certainty of statement and energy separate. Further processing for obtaining new features also having these three entities separate is achieved by the use of a new concept, tensor field filtering. Tensor filters for smoothing and for extraction of circular symmetries are presented and discussed in particular. These methods are used for corner detection and extraction of more global features such as lines in images. A novel method for grouping local orientation estimates into global line parameters is introduced. The method is based on a new parameter space, the Möbius Strip parameter space, which has similarities to the Hough transform. A local centroid clustering algorithm is used for classification in this space. The procedure automatically divides curves into line segments with appropriate lengths depending on the curvature. A linked list structure is built up for storing data in an efficient way.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press , 1991. , 109 p.
Linköping Studies in Science and Technology. Thesis, ISSN 0280-7971 ; 288
Keyword [en]
Image analysis, Representation, Tensor, Hough transform, Möbius strip, Corner detection
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-54888Local ID: LiU-TEK-LIC1991:28ISBN: 91-7870-833-8OAI: diva2:311051
Ogiltigt nummer / annan version: I publ. nr 290:s ISBN: 91-7870-815-X.Available from: 2010-04-19 Created: 2010-04-19 Last updated: 2010-05-26Bibliographically approved

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