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Titlebook: Scale Space and Variational Methods in Computer Vision; Second International Xue-Cheng Tai,Knut Mørken,Knut-Andreas Lie Conference proceedi

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Graph Cut Optimization for the Piecewise Constant Level Set Method Applied to Multiphase Image Segmeplification of the length term in the energy induced by the PCLSM, the minimization problem is not NP hard. Numerical experiments on image segmentation demonstrate that the new approach is very superior in terms of efficiency, while maintaining the same quality.
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Composed Segmentation of Tubular Structures by an Anisotropic PDE Modelfunctional leads to a nonlinear curvature motion model. An anisotropic variant is provided which includes a diffusion tensor aimed to follow the tube geometry. Numerical examples demonstrate the ability of the proposed method to produce high quality 2D/3D segmentations of complex and eventually incomplete synthetic and real data.
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A Nonlinear Probabilistic Curvature Motion Filter for Positron Emission Tomography Imagesion in terms of edge probability under the assumption of contamination by Poison noise. We demonstrate through simulations with images contaminated by Poisson noise that the performance of the proposed method substantially surpasses that of recently published methods, both visually and in terms of statistical measures.
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Tubular Anisotropy Segmentationng in 2D and 3D images. The basic tools are minimal paths solved using the fast marching algorithm. This allows interactive tools for the physician by clicking on a small number of points in order to obtain a minimal path between two points or a set of paths in the case of a tree structure. Our meth
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An Unconstrained Multiphase Thresholding Approach for Image Segmentation a convex minimization problem whose minimizers are also minimizers of the initial non-convex segmentation problem, similar to the approach proposed by Nikolova, Esedoḡlu and Chan. The key difference to the latter model is that the new model does not involve any constraint in the convex formulation
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