Motivated by applications in queueing fluid models and ruin theory, we analyze the asymptotics of $\mathbb{P}(su{p}_{t\in [0,T]}({\sum }_{i=1}^n{\lambda }_i{B}_{H_i}\left(t\right)-ct)>u)$, where $B_{H_i}\left(t\right):t\ge 0$, i = 1,...,n, are independent fractional Brownian motions with Hurst parameters $H_i\in (0,1]$ and λ₁,...,λₙ > 0. The asymptotics takes one of three different qualitative forms, depending on the value of $mi{n}_{i=1,...,n}{H}_i$.

In this paper we deal with a problem of segmentation (including missing boundary completion) and subjective contour creation. For the corresponding models we apply the semi-implicit finite volume numerical schemes leading to methods which are robust, efficient and stable without any restriction to a time step. The finite volume discretization enables to use the spatial adaptivity and thus improve significantly the computational time. The computational results related to image segmentation with partly...