Structure tensor: Difference between revisions

Revision as of 06:40, 12 January 2018

Revision as of 17:27, 6 March 2018

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</ref><ref>

{{cite conference|author1=C. Kenney, M. Zuliani |author2=B. Manjunath, |lastauthoramp=yes |title=An Axiomatic Approach to Corner Detection|booktitle=Proc. IEEE Computer Vision and Pattern Recognition|pages=191–197|year=2005}}

</ref> The structure tensor also plays a central role in the [[Lucas–Kanade Optical Flow Method|Lucas-Kanade optical flow algorithm]], and in its extensions to estimate [[affine shape adaptation]];<ref name=lingar97/> where the magnitude of <math>\lambda_2</math> is an indicator of the reliability of the computed result. The tensor has also been used for [[scale space]] analysis,<ref name=lin94book/> estimation of local surface orientation from monocular or binocular cues,<ref name=garlin96/> non-linear [[fingerprint enhancement]],<ref>

A. Almansa and T. Lindeberg (2000), ''[http://www.nada.kth.se/cvap/abstracts/cvap226.html Enhancement of fingerprint images using shape-adaptated scale-space operators]''. IEEE Transactions on Image Processing, volume 9, number 12, pages 2027–2042.

</ref> [[diffusion-based image processing]],<ref>[http://www.mia.uni-saarland.de/weickert/book.html J. Weickert (1998), Anisotropic diffusion in image processing, Teuber Verlag, Stuttgart.]</ref><ref>

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</ref><ref>

{{cite conference|author1=S. Arseneau |author2=J. Cooperstock |last-author-amp=yes |title=An Improved Representation of Junctions through Asymmetric Tensor Diffusion|booktitle=International Symposium on Visual Computing|date=November 2006}}

</ref> and several other image processing problems. The structure tensor can be also applied in [[geology]] to filter [[Seismology|seismic]] data.<ref>{{Cite journal|last=Yang|first=Shuai|last2=Chen|first2=Anqing|last3=Chen|first3=Hongde|date=2017-05-25|title=Seismic data filtering using non-local means algorithm based on structure tensor|url=https://www.degruyter.com/view/j/geo.2017.9.issue-1/geo-2017-0013/geo-2017-0013.xml?format=INT|journal=Open Geoscienes|volume=9|issue=1|pages=151-160|doi=10.1515/geo-2017-0013|issn=2391-5447|via=}}</ref>

</ref> and several other image processing problems.

===Processing spatio-temporal video data with the structure tensor===