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Volumn , Issue , 2007, Pages

Variational segmentation using fuzzy region competition and local non-parametric probability density functions

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; COMPUTER VISION; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; MOBILE TELECOMMUNICATION SYSTEMS; OPTIMIZATION; PARAMETER ESTIMATION; PHOTOGRAPHY; PROBABILITY; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; THREE DIMENSIONAL; WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 50649124853     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2007.4408959     Document Type: Conference Paper
Times cited : (36)

References (18)
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  • 5
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  • 6
    • 0035248865 scopus 로고    scopus 로고
    • Active contours without edges
    • February
    • T. Chan and L. Vese. Active contours without edges. IEEE Trans. on Image Proc., 10(2):266-277, February 2001.
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    • Chan, T.1    Vese, L.2
  • 7
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    • Cremers, D.1    Rousson, M.2    Deriche, R.3
  • 9
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    • Segmentation of vectorial image features using shape gradients and information measures
    • October
    • A. Herbulot, S. Jehan-Besson, S. Duffner, M. Barlaud, and G. Aubert. Segmentation of vectorial image features using shape gradients and information measures. Jour. of Math. Imaging and Vision, 25(3):365-386, October 2006.
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  • 10
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    • Dream2s: Deformable regions driven by an eulerian accurate minimization method for image and video segmentation
    • S. Jehan-Besson, M. Barlaud, and G. Aubert. Dream2s: Deformable regions driven by an eulerian accurate minimization method for image and video segmentation. Int. Journal of Computer Vision, 53(1):45-70, 2003.
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    • A non-parametric statistical method for image segmentation using information theory and curve evolution
    • J. Kim, J. Fisher, A. Yezzi, M. Cetin, and A. Willsky. A non-parametric statistical method for image segmentation using information theory and curve evolution. IEEE Trans. on Image Processing, 14:1486-1502, 2005.
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    • Kim, J.1    Fisher, J.2    Yezzi, A.3    Cetin, M.4    Willsky, A.5
  • 13
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    • Normalized and differential convolution: Methods for interpolation and filtering of incomplete and uncertain data
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.