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Volumn 107, Issue 3, 2007, Pages 210-224

Object segmentation using graph cuts based active contours

Author keywords

Active contours; Graph cut; Object segmentation; Snakes

Indexed keywords

DATA STRUCTURES; EDGE DETECTION; GRAPH THEORY; ITERATIVE METHODS;

EID: 34547487331     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2006.11.004     Document Type: Article
Times cited : (151)

References (24)
  • 2
    • 0005196882 scopus 로고
    • On active contour models and balloons, computer vision, graphics
    • Cohen L.D. On active contour models and balloons, computer vision, graphics. Image Processing: Image Understanding 53 2 (1991) 211-218
    • (1991) Image Processing: Image Understanding , vol.53 , Issue.2 , pp. 211-218
    • Cohen, L.D.1
  • 3
  • 4
    • 0029215137 scopus 로고    scopus 로고
    • V. Caselles, R. Kimmel, G. Sapiro, Geodesic active contours, in: Proceedings of IEEE International Conference on Computer Vision, 1995, pp. 694-699.
  • 5
    • 44749084234 scopus 로고
    • Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations
    • Osher S., and Sethian J. 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.2
  • 8
    • 0032028276 scopus 로고    scopus 로고
    • Variational principles, surface evolution, PDE's, level set methods, and the stereo problem
    • Faugeras O., and Keriven R. Variational principles, surface evolution, PDE's, level set methods, and the stereo problem. IEEE Transactions on Image Processing 7 3 (1998) 336-344
    • (1998) IEEE Transactions on Image Processing , vol.7 , Issue.3 , pp. 336-344
    • Faugeras, O.1    Keriven, R.2
  • 9
    • 0034849128 scopus 로고    scopus 로고
    • N. Paragios, O. Mellina-Gottardo, and V. Ramesh, Gradient vector flow fast geodesic active contours, in: Proceedings of IEEE International Conference on Computer Vision, vol. 1, July 2001, pp. 67-73.
  • 12
    • 0027697605 scopus 로고
    • An optimal graph theoretic approach to data clustering: theory and its application to image segmentation
    • Wu Z., and Leahy R. An optimal graph theoretic approach to data clustering: theory and its application to image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence 15 11 (1993) 1101-1113
    • (1993) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.15 , Issue.11 , pp. 1101-1113
    • Wu, Z.1    Leahy, R.2
  • 13
    • 0032302953 scopus 로고    scopus 로고
    • H. Ishikawa, D. Geiger, Segmentation by grouping junctions, in: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, June 1998, pp. 125-131.
  • 15
    • 84949969441 scopus 로고    scopus 로고
    • V. Kolmogorov, R. Zabih, What energy functions can be minimized via graph cuts? in: Proceedings of European Conference on Computer Vision, 2002, pp. 65-81.
  • 16
    • 0030646927 scopus 로고    scopus 로고
    • J. Shi, J. Malik, Normalized cuts and image segmentation, in: Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, June 1997, pp. 731-737.
  • 18
    • 0034844730 scopus 로고    scopus 로고
    • Y. Boykov, M. Jolly, Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images, in: Proceedings of IEEE International Conference on Computer Vision, vol. 1, July 2001, pp. 105-112.
  • 19
    • 0042442019 scopus 로고    scopus 로고
    • N. Xu, R. Bansal, N. Ahuja, Object segmentation using graph cuts based active contours, in: IEEE International Conference on Computer Vision and Pattern Recognition, June 2003, pp. 46-53.
  • 23
    • 0035696551 scopus 로고    scopus 로고
    • X. Han, C. Xu, J. Prince, A topology preserving deformable model using level sets, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, December 2001, pp. 765-770.
  • 24
    • 84958658331 scopus 로고    scopus 로고
    • Y. Boykov, V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, in: Proceedings of International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, September 2001, pp. 359-374.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.