imagesegmentation

Created: 2012-03-23 19:04
Updated: 2014-05-05 06:54

README.md

This was done for the project course in Applied Mathemathics (FMA023) at LTH. The final report can be found here final.pdf

References

[1] A. Chambolle, An Algorithm for Total Variation Minimization and Applications, Journal of Mathematical Imaging and Vision, 2004

[2] X. Bresson, S. Esedoglu, P. Vandergheynst, J. P. Thiran, S. Osher, Fast Global Minimization of the Active Contour/Snake Model, Journal of Mathematical Imaging and Vision, 2005

[3] L. Rudin, S. Osher, E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, 1992

[4] T. Chan, L. A. Vese, Active Contours Withour Edges, IEEE Transactions on image processing, 2001

[5] T. Chan, S. Esedoglu, M. Nikolova, Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models, SIAM J. on Applied Mathematics, 2004

[6] A. Chambolle, Total variation minimization and a class o binary MRF models, Energy Min- imization Methods in Computer Vision and Pattern Recognition, 2005

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