메뉴 건너뛰기




Volumn 2, Issue , 2003, Pages 1267-1274

Unsupervised non-parametric region segmentation using level sets

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; IMAGE QUALITY; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS;

EID: 0344983251     PISSN: 15505499     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iccv.2003.1238636     Document Type: Conference Paper
Times cited : (37)

References (21)
  • 1
    • 28144437204 scopus 로고
    • A fast level set method for propagating interfaces
    • D. Adalsteinsson and J. Sethian. A fast level set method for propagating interfaces. Journal of Computational Physics, 118(2):269-277, 1995.
    • (1995) Journal of Computational Physics , vol.118 , Issue.2 , pp. 269-277
    • Adalsteinsson, D.1    Sethian, J.2
  • 3
    • 0036891794 scopus 로고    scopus 로고
    • A multiphase level set framework for image segmentation using the mumford and shah model
    • T. Chan and L. Vese. A multiphase level set framework for image segmentation using the mumford and shah model. International Journal of Computer Vision, 50(3):271-293, 2002.
    • (2002) International Journal of Computer Vision , vol.50 , Issue.3 , pp. 271-293
    • Chan, T.1    Vese, L.2
  • 5
    • 0031150141 scopus 로고    scopus 로고
    • Estimating the bias field of MR images
    • R. Guillemaud, and J. Brady. Estimating the bias field of MR images. IEEE Trans. on Medical Images, 16(3):238-251, 1997.
    • (1997) IEEE Trans. on Medical Images , vol.16 , Issue.3 , pp. 238-251
    • Guillemaud, R.1    Brady, J.2
  • 6
    • 0001863842 scopus 로고
    • Constructing simple stable descriptions for image partitioning
    • Y. Leclerc. Constructing simple stable descriptions for image partitioning. International Journal of Computer Vision., 3(1):73-102, 1989.
    • (1989) International Journal of Computer Vision , vol.3 , Issue.1 , pp. 73-102
    • Leclerc, Y.1
  • 11
    • 44749084234 scopus 로고
    • Fronts propagating with curvature speed: Algorithms based on Hamilton-Jacobi formulations
    • S. Osher and J. Sethian. Fronts propagating with curvature speed: algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics, 79(1):12-49, 1988.
    • (1988) Journal of Computational Physics , vol.79 , Issue.1 , pp. 12-49
    • Osher, S.1    Sethian, J.2
  • 13
    • 0036474209 scopus 로고    scopus 로고
    • Geodesic active regions and level set methods for supervised texture segmentation
    • N. Paragios and R. Deriche. Geodesic active regions and level set methods for supervised texture segmentation. International Journal of Computer Vision, 46(3):223, 2002.
    • (2002) International Journal of Computer Vision , vol.46 , Issue.3 , pp. 223
    • Paragios, N.1    Deriche, R.2
  • 16
    • 0030646927 scopus 로고    scopus 로고
    • Normalized cuts and image segmentation
    • J. Shi and J. Malik. Normalized cuts and image segmentation. In CVPR, pages 731-743, 1997.
    • (1997) CVPR , pp. 731-743
    • Shi, J.1    Malik, J.2
  • 19
    • 0034745001 scopus 로고    scopus 로고
    • Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm
    • Y. Zhang, J. Brady, and S. Smith. Segmentation of brain MR images through a hidden Markov Random Field model and the expectation maximization algorithm. IEEE Trans. on Medical Images, 20(1):45-57, 2001.
    • (2001) IEEE Trans. on Medical Images , vol.20 , Issue.1 , pp. 45-57
    • Zhang, Y.1    Brady, J.2    Smith, S.3
  • 21
    • 0030247213 scopus 로고    scopus 로고
    • Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation
    • S.-C. Zhu and A. Yuille. Region competition: Unifying snakes, region growing, and bayes/mdl for multiband image segmentation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 18(9):884-900, 1996.
    • (1996) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.18 , Issue.9 , pp. 884-900
    • Zhu, S.-C.1    Yuille, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.