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Problems of general anisotropic total variation flow arise in a number of areas of science.
In the total variation flow the speed is the mean curvature, scaled by the modulus of the gradient.
The drift term is given by the total variation flow, respectively, by a singular p-Laplace-type operator.
To improve the description ability, the compact multi-scale structure tensor, total variation flow, and color information are integrated to extract color texture information.
We prove the existence of a finite extinction time for the solutions of the Dirichlet problem for the total variation flow.
This work focuses on proving the existence and uniqueness of strong solutions of perturbed anisotropic total variation flow with the Neumann boundary condition when the initial data is an L 2 function.
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In order to enhance the effects of segmentation, a new color texture descriptor is designed by integrating the compact multi-scale structure tensor (MSST), total variation (TV) flow, and the color information.
Zach et al. [9] proposed an algorithm that can be understood as a minimization of Eq. (5), which is the sum of the total variation of flow field u= u,v) and an L1 attachment term: E_{Z}({mathbf{u}})=int_{Omega}|nabla {mathbf{u}}|+lambda|I(mathbf{x},n -I(mathbf{x}+{mathbf{u}},n -I|dA (5).
The mass flow rate about 0.5 kg s−1 implies a total variation of the main flow temperature about 60 °C and a variation about 30 °C on each sub-system (ORC and ACS).
For example, Pock et al. (2007) presented a total variation (TV)- optical flow model for clinical datasets.
In this paper a finite-volume total variation diminishing (TVD) scheme is presented for modeling unsteady free surface flows caused by dam-breaks in branch channels.
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