Yang Wang, Zicheng Liu, et al.
CVPR 2007
The Mumford-Shah functional and related algorithms for image segmentation involve a tradeoff between a two-dimensional image structure and one-dimensional parametric curves (contours) that surround objects or distinct regions in the image. We propose an alternative functional that is independent of parameterization; it is a geometric functional given in terms of the surfaces representing the data and image in the feature space. The Γ-convergence technique is combined with the minimal surfaces theory to yield a global generalization of the Mumford-Shah segmentation function. © 2008 Springer Science+Business Media, LLC.
Yang Wang, Zicheng Liu, et al.
CVPR 2007
Girmaw Abebe Tadesse, Oliver Bent, et al.
IEEE SPM
Xiaodan Song, Ching-Yung Lin, et al.
CVPRW 2004
W.D. Little, R. Williams
SIGGRAPH 1976