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基于自适应阻尼因子渗透滤波器的匹配代价聚合算法 被引量:1
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作者 符立梅 彭国华 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2018年第5期911-918,共8页
针对局部立体匹配算法中局部平滑性假设导致的倾斜平面内连续视差的误估计问题,提出基于自适应阻尼因子的渗透滤波器权重匹配算法.首先构造适用于复杂多样图像结构特征的"蝶形"支持窗口;随后通过计算像素点间距离度量、灰度... 针对局部立体匹配算法中局部平滑性假设导致的倾斜平面内连续视差的误估计问题,提出基于自适应阻尼因子的渗透滤波器权重匹配算法.首先构造适用于复杂多样图像结构特征的"蝶形"支持窗口;随后通过计算像素点间距离度量、灰度相似性度量及梯度信息度量,自适应地选择水平和垂直阻尼因子,并放宽局部平滑性约束条件,允许倾斜平面上灰度相似的像点存在视差变化;最后根据窗口特征计算带有阻尼因子的渗透滤波代价聚合函数.实验结果表明,该算法在保持局部匹配算法高效性的同时,明显地改善了倾斜平面的误匹配问题,且对低纹理区域同样有效. 展开更多
关键词 立体匹配 倾斜平面 自适应支持窗口 渗透滤波器 自适应阻尼因子
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A Study on Nanoparticle Aerosol Filtration via Different Fibrous Filters by Using CFD Approach
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作者 Q.Wang B.Maze +1 位作者 H.Vahedi Tafreshi B.Pourdeyhimi 《Journal of Donghua University(English Edition)》 EI CAS 2006年第5期97-100,共4页
Fibrous filters such as nonwoven media are generally characterized by their collection efficiency and pressure drop. The traditional computational studies in this area typically based on unrealistic over-simplified ge... Fibrous filters such as nonwoven media are generally characterized by their collection efficiency and pressure drop. The traditional computational studies in this area typically based on unrealistic over-simplified geometries with the fibers placed in a lattice perpendicular to the flow. This paper describes the filter properties made of different Nonwoven materials by using Computational Fluid Dynamics (CFD) approach. In this study, for the first time, a virtual 3- D web is generated based on the fiber orientation information obtaining from analyzing microscopic images of both long-fiber and short-fiber nonwoven structures. Pressure drop and collection efflcicucy of our virtual filter are simulated and compared with the previous analytical and numerical models as well as experiment. 展开更多
关键词 PERMEABILITY CFD simulation nonwoven.
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Air Filter Simulation by Geodict
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作者 王新鹏 Kitai Kim +1 位作者 Changhwan Lee Jooyong Kim 《Journal of Donghua University(English Edition)》 EI CAS 2006年第5期45-48,共4页
In this paper, we discussed the relationship of filter effictency and pressure drop with the porosity, fiber diameter and filter thickness by Oeodict. We found that filter efficiency will increase when filter porosity... In this paper, we discussed the relationship of filter effictency and pressure drop with the porosity, fiber diameter and filter thickness by Oeodict. We found that filter efficiency will increase when filter porosity and fiber diameter decreasing or filter thickness increasing. And the pressure drop has a linear relationship with filter thickness and non-linear relationship with filter porosity and fiber diameter. We also compared the simulation results with the real test results by TSI 3160. Although there are some differences, I think Ocodict can be used to predict filter effictency and pressure drop. 展开更多
关键词 filter simulation Geodict filter efficiency pressure drop porosity.
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