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A method for extracting feature points of micro calibration sample

机译:一种微校准样品特征点的提取方法

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During the calibration of optical microscopic image measurement system, how to quickly and accurately extract the feature point coordinates from micro image of calibration sample is the key factor to affect the calibration precision. Microscope calibration has unique characteristics that are quite different from traditional camera calibration. In this paper, a method for extracting feature points of micro calibration sample is provided based on the analysis of microscope calibration system and calibration sample. The method preprocesses the micro image with threshold segmentation, dilation, erosion and other operations; then labels connected components and computes the coordinates of the feature points by computing centroid of image connected regions. The experiment results show that this method can quickly and efficiently obtain the coordinates of the feature points.
机译:在光学显微图像测量系统的标定过程中,如何快速,准确地从标定样品的显微图像中提取特征点坐标,是影响标定精度的关键因素。显微镜校准具有与传统相机校准完全不同的独特特性。本文在分析显微镜标定系统和标定样本的基础上,提出了一种提取微标定样本特征点的方法。该方法通过阈值分割,扩张,腐蚀等操作对显微图像进行预处理。然后标记连接的组件,并通过计算图像连接区域的质心来计算特征点的坐标。实验结果表明,该方法可以快速有效地获取特征点的坐标。

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