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Line Edge Detection and Characterization in SEM Images Using Wavelets

机译:小波在SEM图像中的线边缘检测和表征

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Edge characterization has become increasingly important in nanotechnology due to the growing demand for precise nanoscale structure fabrication and assembly. Edge detection is often performed by thresholding the spatial information of a top-down image obtained by scanning electron microscopy or other surface characterization techniques. Results are highly dependent on an arbitrary threshold value, which makes it difficult to reveal the nature of the real surface and to compare results among images. In this paper, we present an alternative edge boundary detection technique based on the wavelet framework. Our results indicate that the method facilitates nanoscale edge detection and characterization by providing a systematic threshold determination step.
机译:由于对精确纳米级结构的制造和组装的需求不断增长,边缘表征在纳米技术中已变得越来越重要。边缘检测通常通过对通过扫描电子显微镜或其他表面表征技术获得的自上而下图像的空间信息进行阈值化来执行。结果高度依赖于任意阈值,这使得很难揭示真实表面的性质以及在图像之间比较结果。在本文中,我们提出了一种基于小波框架的替代边缘边界检测技术。我们的结果表明,该方法通过提供系统的阈值确定步骤,有助于纳米级边缘检测和表征。

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