Global Optimum Active Contour Segmentation
The active contour framework is widely used for segmentation of images. Specially active contours with a convex energy [1] gained a lot of interest, since they are independent of initialization. Several methods have been proposed to minimise the active contour energy, all claiming to be fast and efficient. In [2] several of these optimization methods are studied and compared. The source code of these different methods can be downloaded here.
- [1] T. F. Chan, S. Esedoglu and M. Nikolova: “Algorithms for finding global minimizers of image segmentation and denoising models”, in Siam Journal on Applied Mathematics,vol. 66, no. 5, pp. 1632–1648, 2006.
- [2] J. De Vylder, J. Aelterman, K. Douterloigne and W. Philips: “A comparative study on the optimization of global optimum active contours", in proceedings of IEEE International Conference on Signal Processing and Communication Systems, 2011
