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In this paper we present new edge detection algorithms which are motivated by recent developments on edge-adapted reconstruction techniques [F. Aràndiga, A. Cohen, R. Donat, N. Dyn, B. Matei, Approximation of piecewise smooth functions and images by edge-adapted (ENO-EA) nonlinear multiresolution techniques, Appl. Comput. Harmon. Anal. 24 (2) (2008) 225–250]. They are based on comparing local quantities rather than on filtering and thresholding. This comparison process is invariant under certain transformations that model light changes in the image, hence we obtain edge detection algorithms which are insensitive to changes in illumination. 相似文献
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Xiao-Juan Luo Triantafyllos Stylianopoulos Victor H. Barocas Mark S. Shephard 《Engineering with Computers》2009,25(1):87-95
The mechanical function of soft collagenous tissues is inherently multiscale, with the tissue dimension being in the centimeter
length scale and the underlying collagen network being in the micrometer length scale. This paper uses a volume averaging
multiscale model to predict the collagen gel mechanics. The model is simulated using a multiscale component toolkit that is
capable of dealing with any 3D geometries. Each scale in the multiscale model is treated as an independent component that
exchanges the deformation and average stress information through a scale-linking operator. An arterial bifurcation was simulated
using the multiscale model, and the results demonstrated that the mechanical response of the soft tissues is strongly sensitive
to the network orientation and fiber-to-fiber interactions. 相似文献
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Assyr Abdulle Achim Nonnenmacher 《Computer Methods in Applied Mechanics and Engineering》2009,198(37-40):2839-2859
We describe a multiscale finite element (FE) solver for elliptic or parabolic problems with highly oscillating coefficients. Based on recent developments of the so-called heterogeneous multiscale method (HMM), the algorithm relies on coupled macro- and microsolvers. The framework of the HMM allows to design a code whose structure follows the classical finite elements implementation at the macro level. To account for the fine scales of the problem, elementwise numerical integration is replaced by micro FE methods on sampling domains. We discuss a short and flexible FE implementation of the multiscale algorithm, which can accommodate simplicial or quadrilateral FE and various coupling conditions for the constrained micro simulations. Extensive numerical examples including three dimensional and time dependent problems are presented illustrating the efficiency and the versatility of the computational strategy. 相似文献
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张雷李成龙涂铮铮汤进 《数据采集与处理》2017,32(4):799-808
在视频中自动发掘目标并对其进行精确分割是一个非常有挑战性的计算机视觉问题。本文提出了一种基于保边滤波的显著目标快速分割方法。首先,通过融合外观特征与运动特征,将视频中的显著目标发掘转为能量函数最小化问题进行求解。其次,为了更精确地进行分割目标,融合外观的高斯混合外观模型(Gaussian mixture mode,GMM)、位置先验以及时空平滑约束构建马尔科夫随机场(Markov random field,MRF)模型,并使用图割算法进行求解。本文提出的基于保边滤波的显著目标快速分割方法,在牺牲较少的精度下,极大地提高了分割效率。最后在两个数据集上进行了对比实验,实验结果表明,本文算法的分割精度超过了其他5种目标分割方法,且加速算法在损失少量精度的情况下提高了2倍分割效率。 相似文献
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In this article we present our recent efforts in designing a comprehensive consistent scientific workflow, nicknamed Wolf2 Pack, for force-field optimization in the field of computational chemistry. Atomistic force fields represent a multiscale bridge that connects high-resolution quantum mechanics knowledge to coarser molecular mechanics-based models. Force-field optimization has so far been a time-consuming and error-prone process, and is a topic where the use of a scientific workflow can provide obvious great benefits. As a case study we generate a gas-phase force field for methanol using Wolf2 Pack, with special attention given toward deriving partial atomic charges. 相似文献
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