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In this section, we will integrate the two matrices with non-local space information.
Theorem 3 indicates that the addition of the non-local space information does not change the uneven light intensity, and the integration of the horizontal and vertical wave transformation values with the non-local space information can reduce the influence of the uneven light on the image segmentation.
To integrate the two membership matrices, ( {varPsi}_{d_H}(f) ) and ( {varPsi}_{d_V}(f) ), we take consider the non-local space information of each pixel, namely, the weight matrix of pixels as follows.
In this paper, we propose a novel wave transformation model by introducing fuzzy membership and adding non-local space information and edge information, in order to reduce the influence of uneven light and noise injection on image segmentation.
Such systems are also referred to as PDEs with non-local (in space) terms.
In this section we discuss also several generalizations of the quantitative isoperimetric inequality to higher codimension, to non local perimeters and to non Euclidean settings such as the Gauss space.
The local space is similarly defined.
The effect of bolt pretension on the filled hole fAilure analysis case is also presented and the failure mecrackspacing discussed.
The local space-time discontinuous Galerkin predictor must then be reformulated in a non-conservative fashion, supplying the time evolution of the reconstructed polynomials for the primitive variables.
Continuing along this way, an effective permittivity that is non-local in time and space could be derived, in exactly the same way as for natural material.
We propose a novel, efficient pseudo-spectral collocation scheme for computing the non-local terms in real space with the help of a specialised Gauss quadrature.
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