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Volumn , Issue , 2007, Pages

A variational framework combining level-sets and thresholding

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION;

EID: 84898419297     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.21.53     Document Type: Conference Paper
Times cited : (12)

References (15)
  • 4
    • 0036451880 scopus 로고    scopus 로고
    • Nonparametric methods for image segmentation using information theory and curve evolution
    • J. Kim, J. Fisher, A. Yezzi, M. Cetin, and A. Willsky. Nonparametric methods for image segmentation using information theory and curve evolution. In Proc. ICIP, volume 3, pages 797-800, 2002.
    • (2002) Proc. ICIP , vol.3 , pp. 797-800
    • Kim, J.1    Fisher, J.2    Yezzi, A.3    Cetin, M.4    Willsky, A.5
  • 8
    • 0033283980 scopus 로고    scopus 로고
    • Geodesic active regions for supervised texture segmentation
    • N. Paragios and R. Deriche. Geodesic active regions for supervised texture segmentation. In ICCV (2), pages 926-932, 1999.
    • (1999) ICCV , vol.2 , pp. 926-932
    • Paragios, N.1    Deriche, R.2
  • 10
    • 84964354359 scopus 로고    scopus 로고
    • A variational framework for active and adaptative segmentation of vector valued images
    • M. Rousson and R. Deriche. A variational framework for active and adaptative segmentation of vector valued images. In Proc. of the Workshop on Motion and Video Computing, page 56, 2002.
    • (2002) Proc. of the Workshop on Motion and Video Computing , pp. 56
    • Rousson, M.1    Deriche, R.2
  • 12
    • 0031071476 scopus 로고    scopus 로고
    • Geodesic active contours
    • V.Caselles, R. Kimmel, and G. Sapiro. Geodesic active contours. In IJCV, volume 22, pages 61-79, 1997.
    • (1997) IJCV , vol.22 , pp. 61-79
    • Caselles, V.1    Kimmel, R.2    Sapiro, G.3
  • 13
    • 0033285075 scopus 로고    scopus 로고
    • A statistical approach to snakes for bimodal and trimodal imagery
    • A. Yezzi, A. Tsai, and A. Willsky. A statistical approach to snakes for bimodal and trimodal imagery. In Proc. ICCV, volume 2, pages 898-903, 1999.
    • (1999) Proc. ICCV , vol.2 , pp. 898-903
    • Yezzi, A.1    Tsai, A.2    Willsky, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.