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Volumn 4485 LNCS, Issue , 2007, Pages 556-567

A generic approach to the filtering of matrix fields with singular PDEs

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ACQUISITION; MOTION ESTIMATION; NUMERICAL METHODS; PARTIAL DIFFERENTIAL EQUATIONS;

EID: 37249056645     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72823-8_48     Document Type: Conference Paper
Times cited : (16)

References (20)
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    • Arsigny, V.1    Pennec, P.F.X.2    Ayache, N.3
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    • Constrained flows of matrix-valued functions: Application to diffusion tensor regularization
    • A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Computer Vision, ECCV 2002, of, Springer, Berlin
    • C. Chefd'Hotel, D. Tschumperlé, R. Deriche, and O. Faugeras. Constrained flows of matrix-valued functions: Application to diffusion tensor regularization. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Computer Vision - ECCV 2002, volume 2350 of Lecture Notes in Computer Science, pages 251-265. Springer, Berlin, 2002.
    • (2002) Lecture Notes in Computer Science , vol.2350 , pp. 251-265
    • Chefd'Hotel, C.1    Tschumperlé, D.2    Deriche, R.3    Faugeras, O.4
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    • Horn, R.A.1    Johnson, C.R.2
  • 13
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    • S. L. Keeling and R. Stollberger. Nonlinear anisotropic diffusion filters for wide range edge sharpening. Inverse Problems, 18:175-190, January 2002.
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    • Keeling, S.L.1    Stollberger, R.2
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    • Flexible segmentation and smoothing of DT-MRI fields through a customizable structure tensor
    • Proceedings of the International Symposium on Visual Computing, Springer, Berlin
    • T. Schultz, B. Burgeth, and J. Weickert. Flexible segmentation and smoothing of DT-MRI fields through a customizable structure tensor. In Proceedings of the International Symposium on Visual Computing, Lecture Notes in Computer Science. Springer, Berlin, 2007.
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    • Schultz, T.1    Burgeth, B.2    Weickert, J.3
  • 17
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    • An analytical model of edge protection under noise suppression by anisotropic diffusion
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.