To improve the robustness of the algorithm based on graph cuts
a new method based on graph cuts is introduced in this paper. We formulated the energy functions based on gradient. Then the method was applied to minimize the energy function. As for the robustness of the gradient for the image noise and local illumination
the method increase the robustness of the traditional algorithm based on graph cuts. At last
the effectiveness of the algorithm is verified by simulation and implementation.
关键词
Keywords
references
Boykov Y, Veksler O, Zabih R. Fast approximate energy minimization via graphcuts[J]. IEEE Transactions on Pattern Analysis andMachine Intelligence, 2001, 23(11): 1222-1239. DOI: 1222
KolmogorovV. Graph based algorithms for scene reconstruction from two or more views[D]. Ithaca: Cornell University, 2004: 1-139.
Vladimir Kolmogorov, Ramin Zabih. Mutli-camera seene reconstruction via graph cuts[C]//7th European Conference on Computer Vision. Copenhagen: Springer, 2002: 82-96.
Kolmogorov V, Zabin R. What energy functions can be minimized via graphcuts[J]. IEEE Transon Pattern Analysis andMachine Intelligence, 2004, 26(2): 147-159. DOI: 147