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Morphological image processing in the speckle metrology

机译:散斑计量学中的形态图像处理

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In the speckle metrology, the processing of speckle image is very important. A method of morphological image processing is proposed in this paper. The theory of mathematical morphology and some basic morphological operations are introduced. In the experiment of laser speckle double-exposure, we get the specklegram which contains the information of micro-displacement. Then we employ the device of point-to-point analysis and get the image of laser speckle pattern interference fringes. Using the theory of speckle, the formula of micro-displacement is obtained. In the image processing, we first use grey-level transformation and histogram equalisation. Then we use the method of dynamic local threshold to get the binary image of laser speckle pattern interference fringes. In order to extract the fringe spacing, the image is processed by the operations of mathematical morphology in this work, such as the operations of opening, closing, skeletonisation and deburring. After that, the image can be used to extract the average fringe spacing by which the micro-displacement can be calculated finally. We get a more accurate result than traditional methods. The deviation may be less than 1% and the order of magnitude can reach 1 um. The method of morphological image processing used in the speckle metrology has some advantages such as fast processing, easiness and high precision.
机译:在散斑计量学中,散斑图像的处理非常重要。提出了一种形态学图像处理方法。介绍了数学形态学的理论和一些基本的形态学运算。在激光散斑双曝光实验中,我们得到了包含微位移信息的散斑图。然后采用点对点分析装置,得到激光散斑干涉条纹图像。利用散斑理论,得到了微位移的公式。在图像处理中,我们首先使用灰度变换和直方图均衡化。然后采用动态局部阈值法获得激光散斑干涉条纹的二值图像。为了提取条纹间距,在该工作中通过数学形态学的操作来处理图像,例如打开,关闭,骨架化和去毛刺的操作。之后,可以使用图像提取平均条纹间距,从而最终可以计算出微位移。我们得到的结果比传统方法更准确。偏差可以小于1%,数量级可以达到1 um。散斑计量学中使用的形态图像处理方法具有处理速度快,操作简便,精度高等优点。

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