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Smart fringe image processing system

机译:智能条纹图像处理系统

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Optical methods equipped with phase measuring methods of fringe pattern analysis have become recently an important tool in non-destructive testing, remote shape measurement and strain analysis. However they are usually vulnerable to improper settings of operational parameters, algorithm selection, data evaluation sequence and often require highly qualified operator. These disadvantages may be reduced by implementing smart fringe image processing system, SFIPS, which is equipped in image quality evaluation modules and feed-back and feed-forward decision loops. The paper presents the architecture of SFIPS and the principles of formation and usage of image feature vectors at sequential stages of processing. Example of implementing the SFIPS for analysis of crossed fringe pattern obtained in grating interferometry system is given.
机译:配备阶段测量方法的光学方法近来已成为无损检测,远程形状测量和应变分析中的重要工具。但是,它们通常很容易受到操作参数,算法选择,数据评估序列的不当设置,并且通常需要高素质的操作员。通过实现智能条纹图像处理系统,SFIPS可以减少这些缺点,该缺点是配备在图像质量评估模块和反馈和前馈决策环中的SFIPS。本文介绍了SFIPS的架构以及在处理顺序阶段的图像特征向量的形成和使用原理。给出了在光栅干涉式系统中获得的分析进行分析的SFIP的示例。

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