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Volumn 6454 LNCS, Issue PART 2, 2010, Pages 97-106

Segmentation for hyperspectral images with priors

Author keywords

[No Author keywords available]

Indexed keywords

CHAN-VESE MODEL; HYPER-SPECTRAL IMAGES; SEGMENTATION METHODS; SPLIT BREGMAN ALGORITHMS;

EID: 78650796729     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17274-8_10     Document Type: Conference Paper
Times cited : (7)

References (18)
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    • Cremers, D., Osher, S., Soatto, S.: Kernel density estimation and intrinsic alignment for knowledge-driven segmentation. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds.) DAGM 2004. LNCS, vol. 3175, pp. 415-438. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.3175 , pp. 415-438
    • Cremers, D.1    Osher, S.2    Soatto, S.3
  • 4
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    • A priori information in image segmentation: Energy functional based on shape statistical model and image information
    • Bresson, X., Vandergheynst, P., Thiran, J.P.: A priori information in image segmentation: energy functional based on shape statistical model and image information. In: IEEE Int. Conf. Image Processing, vol. 2, pp. 425-428 (2003)
    • (2003) IEEE Int. Conf. Image Processing , vol.2 , pp. 425-428
    • Bresson, X.1    Vandergheynst, P.2    Thiran, J.P.3
  • 5
    • 33646584465 scopus 로고    scopus 로고
    • A variational model for object segmentation using boundary information and shape prior driven by the Mumford-Shah functional
    • DOI 10.1007/S11263-006-6658-x
    • Bresson, X., Vandergheynst, P., Thiran, J.P.: A variational model for object segmentation using boundary information and shape prior driven by the Mumford-Shah functional. Int. J. Computer Vision 68, 145-162 (2006) (Pubitemid 43724243)
    • (2006) International Journal of Computer Vision , vol.68 , Issue.2 , pp. 145-162
    • Bresson, X.1    Vandergheynst, P.2    Thiran, J.-P.3
  • 9
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithms
    • Rudin, L., Osher, S., Fatemi, E.: Nonlinear total variation based noise removal algorithms. Physica D 60, 259-268 (1992)
    • (1992) Physica D , vol.60 , pp. 259-268
    • Rudin, L.1    Osher, S.2    Fatemi, E.3
  • 13
    • 84969334819 scopus 로고    scopus 로고
    • The split Bregman method for l1 regularized problems
    • Goldstein, T., Osher, S.: The split Bregman method for l1 regularized problems. SIAM J. Imaging Science 2, 323-343 (2009)
    • (2009) SIAM J. Imaging Science , vol.2 , pp. 323-343
    • Goldstein, T.1    Osher, S.2
  • 14
    • 0002058827 scopus 로고
    • The numerical solution of parabolic and elliptic differential equations
    • Peaceman, D., Rachford, J.: The numerical solution of parabolic and elliptic differential equations. J. of Soc. for Ind. and Applied Math. 3, 28-41 (1955)
    • (1955) J. of Soc. for Ind. and Applied Math. , vol.3 , pp. 28-41
    • Peaceman, D.1    Rachford, J.2
  • 15
    • 0002211517 scopus 로고
    • A dual algorithm for the solution of nonlinear variational problems via finite element approximations
    • Gabay, D., Mercier, B.: A dual algorithm for the solution of nonlinear variational problems via finite element approximations. Computers and Math. with Applications 2, 17-40 (1976)
    • (1976) Computers and Math. with Applications , vol.2 , pp. 17-40
    • Gabay, D.1    Mercier, B.2
  • 18
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    • Algorithms for finding global minimizers of image segmentation and denoising models
    • DOI 10.1137/040615286
    • Chan, T., Esedoglu, S., Nikolova, M.: Algorithms for finding global minimizers of image segmentation and denoising models. SIAM J. Applied Mathematics 66, 1632-1648 (2006) (Pubitemid 44599935)
    • (2006) SIAM Journal on Applied Mathematics , vol.66 , Issue.5 , pp. 1632-1648
    • Chan, T.F.1    Esedoglu, S.2    Nikolova, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.