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Adaptive oriented PDEs filtering methods based on new controlling speed function for discontinuous optical fringe patterns

机译:基于新的控制速度函数的不连续光学条纹图案的自适应定向PDE滤波方法

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摘要

The filtering of discontinuous optical fringe patterns is a challenging problem faced in this area. This paper is concerned with oriented partial differential equations (OPDEs)-based image filtering methods for discontinuous optical fringe patterns. We redefine a new controlling speed function to depend on the orientation coherence. The orientation coherence can be used to distinguish the continuous regions and the discontinuous regions, and can be calculated by utilizing fringe orientation. We introduce the new controlling speed function to the previous OPDEs and propose adaptive OPDEs filtering models. According to our proposed adaptive OPDEs filtering models, the filtering in the continuous and discontinuous regions can be selectively carried out. We demonstrate the performance of the proposed adaptive OPDEs via application to the simulated and experimental fringe patterns, and compare our methods with the previous OPDEs. (C) 2017 Elsevier Ltd. All rights reserved.
机译:不连续的光学条纹图案的过滤是该领域面临的挑战性问题。本文涉及基于不连续光学条纹图案的基于定向偏微分方程(OPDE)的图像滤波方法。我们重新定义了新的控制速度函数,以取决于方向的一致性。取向相干性可以用于区分连续区域和不连续区域,并且可以通过利用条纹取向来计算。我们在以前的OPDE中引入了新的控制速度功能,并提出了自适应OPDE过滤模型。根据我们提出的自适应OPDEs滤波模型,可以有选择地在连续和不连续区域中进行滤波。我们通过将其应用于模拟和实验条纹图案来演示所提出的自适应OPDE的性能,并将我们的方法与以前的OPDE进行比较。 (C)2017 Elsevier Ltd.保留所有权利。

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