利用物体离焦的三维跟踪-二维扫描电子显微镜图像

ICINCO-RA Pub Date : 1900-01-01 DOI:10.5220/0002209200720078
C. Dahmen
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引用次数: 2

摘要

提出了一种从扫描电镜图像中提取三维位置数据的跟踪算法。选择一种基于活动轮廓的区域最小化算法作为二维跟踪的基础。在此基础上,对该算法进行了扩充,加入了离焦分析来估计物体的离焦位移。为了解决离焦位移的模糊性,利用了扫描电镜图像的像散。单独计算图像的行和列的方差可以实现成功的方向估计。利用获取的图像的方向、离焦位移和工作距离信息,可以计算出目标到电子枪的距离。结合跟踪的二维部分,生成一个完整的三维坐标集。利用定位装置对该方法进行了测试和评估,并证明了该方法的主要可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Threedimensional Tracking using Object Defocus - In Twodimensional Scanning Electron Microscope Images
This paper proposes a tracking algorithm for the extraction of threedimensional position data from SEM images. An algorithm based on active contours with region-based minimization is chosen as basis for twodimensional tracking. This algorithm is then augmented by the incorporation of defocus analysis to estimate the out-of-focus displacement of the object. To solve the ambiguity of the out-of-focus displacement, the astigmatism of the SEM images is used. The separate calculation of variances for the rows and columns of the image enables a successful direction estimation. With the information on the direction, the out-of-focus displacement and the working distance of the acquired image, the distance of the object to the electron gun can be calculated. In combination with the twodimensional part of the tracking, a full threedimensional coordinate set is generated. The approach is tested and evaluated using a positioning setup and the principal feasibility is shown.
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