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Volumn 205, Issue 2, 2008, Pages 688-696

Level set contour extraction method based on support value filter

Author keywords

Least squares support vector machine (LS SVM); Level set; Object contour extraction; Support value filter

Indexed keywords

CURVE FITTING; EDGE DETECTION; GEODESY; IMAGE RETRIEVAL; IMAGE SEGMENTATION; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; RESEARCH AIRCRAFT; SUPPORT VECTOR MACHINES; TWO PHASE FLOW; VECTORS; WAVE FILTERS;

EID: 54249095531     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2008.05.016     Document Type: Article
Times cited : (12)

References (27)
  • 2
    • 33744958803 scopus 로고    scopus 로고
    • Minimal weighted local variance as edge detector for active contour models
    • Narayanan P.J. (Ed), Springer-Verlag, Berlin, Heidelberg, New York
    • Law W.K., and Chum A.C.S. Minimal weighted local variance as edge detector for active contour models. In: Narayanan P.J. (Ed). Lecture Notes in Computer Science vol. 3851 (2006), Springer-Verlag, Berlin, Heidelberg, New York 622-632
    • (2006) Lecture Notes in Computer Science , vol.3851 , pp. 622-632
    • Law, W.K.1    Chum, A.C.S.2
  • 3
    • 24644441054 scopus 로고    scopus 로고
    • C.M. Li, C.Y. Xu, C.F. Gui, M.D. Fox, Level set evolution without re-initialization: a new variational formulation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 430-436.
    • C.M. Li, C.Y. Xu, C.F. Gui, M.D. Fox, Level set evolution without re-initialization: a new variational formulation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 430-436.
  • 4
    • 54249083767 scopus 로고    scopus 로고
    • M.O. Bergen, Towards dynamic adaptation of snake contours, in: Proceedings of the 6th International Conference on Image Analysis and Processing, Italy, 1991, pp. 47-54.
    • M.O. Bergen, Towards dynamic adaptation of snake contours, in: Proceedings of the 6th International Conference on Image Analysis and Processing, Italy, 1991, pp. 47-54.
  • 8
    • 44749084234 scopus 로고
    • Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations
    • Osher S., and Sethian J.A. Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79 (1988) 12-49
    • (1988) Journal of Computational Physics , vol.79 , pp. 12-49
    • Osher, S.1    Sethian, J.A.2
  • 11
    • 0036891794 scopus 로고    scopus 로고
    • A multiphase level set framework for image segmentation using the Mumford and Shah model
    • Vese L., and Chan T. A multiphase level set framework for image segmentation using the Mumford and Shah model. International Journal of Computer Vision 50 (2002) 271-293
    • (2002) International Journal of Computer Vision , vol.50 , pp. 271-293
    • Vese, L.1    Chan, T.2
  • 12
    • 84990602490 scopus 로고
    • Optimal approximation by piecewise smooth functions and associated problems
    • Mumford D., and Shah J. Optimal approximation by piecewise smooth functions and associated problems. Communication Pure and Applied Mathematics. 42 (1989) 577-685
    • (1989) Communication Pure and Applied Mathematics. , vol.42 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 15
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes C., and Vapnik V. Support vector networks. Machine Learning 20 (1995) 273-297
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 16
    • 0002660750 scopus 로고    scopus 로고
    • The support vector method of function estimation
    • Suykens J.A.K., and Vandewalle J. (Eds), Kluwer Academic Publishers, Boston
    • Vapnik V. The support vector method of function estimation. In: Suykens J.A.K., and Vandewalle J. (Eds). Nonlinear Modeling: Advanced Black-Box Techniques (1998), Kluwer Academic Publishers, Boston 55-85
    • (1998) Nonlinear Modeling: Advanced Black-Box Techniques , pp. 55-85
    • Vapnik, V.1
  • 17
  • 19
    • 0035181296 scopus 로고    scopus 로고
    • Optimal control by least squares support vector machines
    • Suykens J.A.K., Vandewalle J., and De Moor B. Optimal control by least squares support vector machines. Neural Networks 14 (2001) 23-25
    • (2001) Neural Networks , vol.14 , pp. 23-25
    • Suykens, J.A.K.1    Vandewalle, J.2    De Moor, B.3
  • 21
    • 2942560335 scopus 로고    scopus 로고
    • A new efficient SVM-based edge detection method
    • Zheng S., Liu J., and Tian J.W. A new efficient SVM-based edge detection method. Pattern Recognition Letters 25 10 (2004) 1143-1154
    • (2004) Pattern Recognition Letters , vol.25 , Issue.10 , pp. 1143-1154
    • Zheng, S.1    Liu, J.2    Tian, J.W.3
  • 25
    • 0036825528 scopus 로고    scopus 로고
    • Weighted least squares support vector machines: robustness and sparse approximation
    • Suykens J.A.K., De Brabanter J., Lukas L., and Vandewalle J. Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 48 (1999) 85-105
    • (1999) Neurocomputing , vol.48 , pp. 85-105
    • Suykens, J.A.K.1    De Brabanter, J.2    Lukas, L.3    Vandewalle, J.4
  • 27
    • 0011235023 scopus 로고    scopus 로고
    • A variational method in image recovery
    • Aubert G., and Vese L. A variational method in image recovery. SIAM Journal on Numerical Analysis 34 5 (1997) 1948-1979
    • (1997) SIAM Journal on Numerical Analysis , vol.34 , Issue.5 , pp. 1948-1979
    • Aubert, G.1    Vese, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.