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Segmenting the Valid Measuring Region (VMR) Based on the Local Density Estimation in Oblique Laser Interferometry

机译:基于斜激光干涉测量局部密度估计的有效测量区域(VMR)分割

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摘要

Segmenting the valid measuring region (VMR) from an interfcrogram is an important step in the oblique interferometry, which is related to the final measurement accuracy. For the two interferogram defects which are the main sources of segmentation error, spurious fringes and defocused region on the boundaries of the VMR, a correction method based on local density estimation is proposed to improve the segmentation accuracy. First, a binary image based on the object image is generated as an auxiliary image in the following steps. Second, the pixels in high density region and low density region are determined respectively, and the boundary pixels are filtered based on the local density analysis. Third, the principles of selecting some parameters are summarized and the calculation steps are shown. To examine the correction method, the results of an experimental application of local density segmentation are given to verify the feasibility and accuracy. The two novelties in this work are: (i) The defocused region is considered and processed in segmenting the VMR; and (ii) a segmentation method which can reduce the impacts from the spurious fringes and defocused region at the same time is proposed.
机译:从间图中分割有效测量区域 (VMR) 是斜干涉测量中的重要步骤,它与最终测量精度有关。针对VMR边界上分割误差、杂散条纹和离焦区域这两个干涉图缺陷,提出了一种基于局部密度估计的修正方法,以提高分割精度。首先,在以下步骤中生成基于目标图像的二进制图像作为辅助图像。其次,分别确定高密度区域和低密度区域的像素,并基于局部密度分析对边界像素进行滤波;第三,总结了一些参数的选择原则,并给出了计算步骤。为了验证该修正方法,给出了局部密度分割的实验应用结果,验证了该方法的可行性和准确性。这项工作的两个新颖之处是:(i)在分割VMR时考虑和处理离焦区域;(ii)提出了一种能够同时减少杂散条纹和散焦区域影响的分割方法。

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