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Volumn , Issue , 2008, Pages 2284-2287

Shape prior based on statistical map for active contour segmentation

Author keywords

Active contour segmentation; Statistical shape

Indexed keywords

ACTIVE CONTOUR SEGMENTATION; BINARY TRAINING; ENERGY FUNCTIONALS; LEVEL SETS; MEDICAL IMAGES; PRIOR DISTRIBUTION; PRIOR KNOWLEDGE; SHAPE PRIORS; STATISTICAL SHAPE;

EID: 69949115070     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4712247     Document Type: Conference Paper
Times cited : (11)

References (11)
  • 1
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  • 2
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  • 3
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    • Kernel density estimation and intrinsic alignment for shape priors in level set segmentation
    • September
    • D. Cremers, S. Osher, and S. Soatto, "Kernel density estimation and intrinsic alignment for shape priors in level set segmentation," International Journal of Computer Vision, vol. 69, no. 3, pp. 335-351, September 2006.
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    • Cremers, D.1    Osher, S.2    Soatto, S.3
  • 4
    • 34547916854 scopus 로고    scopus 로고
    • Nonparametric shape priors for active contour-based image segmentation
    • December
    • J. Kim, M. Cetin, and A.S. Willsky, "Nonparametric shape priors for active contour-based image segmentation," Signal Processing, vol. 87(12), pp. 3021-3044, December 2007.
    • (2007) Signal Processing , vol.87 , Issue.12 , pp. 3021-3044
    • Kim, J.1    Cetin, M.2    Willsky, A.S.3
  • 8
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    • Fronts propagating with curvature-dependent speed: Algorithms based on hamilton-jacobi formulations
    • S. Osher and J.A. Sethian, "Fronts propagating with curvature-dependent speed: Algorithms based on hamilton-jacobi formulations," Journal of Computational Physics, vol. 79(1), pp. 12-49, 1988.
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  • 9
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    • Shape priors for level set representations
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  • 10
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    • A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
    • X. Bresson, P. Vandergheynst, and J. Thiran, "A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional," International Journal of Computer Vision, vol. 28, no. 2, pp. 145-162, 2006.
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  • 11
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    • Geodesic active regions: A new paradigm to deal with frame partition problems in computer vision
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    • Paragios, N.1    Deriche, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.