참고문헌
- M. Kass, A. Witkin, and D. Terzopoulos. Snakes: active contour models. Int'l J. Comp. Vis., 1:321-331, 1987.
- C. Xu and J. Prince. Snakes, shapes, and gradient vector flow. IEEE Trans. Imag. Proc., 7:359-369, 1998. https://doi.org/10.1109/83.661186
- C. Li, C. Xu, C. Gui, and M. D. Fox, Level set evolution without re-initialization: A new variational formulation. In IEEE Conference on Computer Vision and Pattern Recognition(CVPR)., volume 1, pages 430-436, 2005.
- C. Li, J. Liu, and M. D. Fox. Segmentation of external force field for automatic initialization and splitting of snakes. Pattern Recognition, 38(11):1947-1960, 2005. https://doi.org/10.1016/j.patcog.2004.12.015
- C. Xu and J. Prince. Snakes, shapes, and gradient vector flow. IEEE Trans. Imag. Proc., 7:359-369, 1998. https://doi.org/10.1109/83.661186
- Cremers, D. A multiphase level set framework for variational motion segmentation. In Scale Space Methods in Computer Vision, L. D. Griffin and M. Lillholm (Ed.) vol. 2695 of Lecture Notes in Computer Science, Springer, Berlin, pp. 599-614. 2003.
- T. Chan and L. Vese. Active contours without edges. IEEE Trans. Imag. Proc., 10(2):266-277, 2001. https://doi.org/10.1109/83.902291
- L. Vese and T. Chan. A multiphase level set framework for image segmentation using the mumford and shsh model. Int'l J. Comp. Vis., 50:271-293, 2002. https://doi.org/10.1023/A:1020874308076
- A. Tsai, A.Yezzi, A.Willsky. Curve Evolution Implementation of the Mumford-Shah Functional for Image Segmentation, Denoising, Interpolation, and Magnification. IEEE Transactions on Image Processing, vol. 10, no. 8, pp. 1169-1186, August 2001. https://doi.org/10.1109/83.935033
- C Li, CY Kao, JC Gore, Z Ding. Implicit Active Contours Driven by Local Binary Fitting Energy.presented at the IEEE Conf. Computer Vision and Pattern Recognition, 2007.
- D Martin, C Fowlkes, D Tal, and J Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics.in Proc. IEEE Int'l. Conf. ComputerVision, Vancouver, Canada, July 2001.
- M. D. Heath, S. Sarkar, T. Sanocki, and K.W. Bowyer. A robust visual method for assessing the relativeperformance of edge-detection algorithms. PAMI, 19(12):1338-1359, 1997. https://doi.org/10.1109/34.643893
- A. Hoover, G. Jean-Babtiste, X. Jiang, P. J. Flynn, H. Bunke, D. B. Goldgof, K. Bowyer, D. W. Eggert,A. Fitzgibbon, and R. B. Fisher. An experimental comparison of range image segmentation algorithms. IEEE PAMI, 18(7):673-689, Jul. 1996. https://doi.org/10.1109/34.506791
- Statistics II : ANOVA and regression : course notes, Cary, NC : SAS Institute, 2005.