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Subpixel image stitching for linewidth measurement based on digital image correlation

机译:基于数字图像相关性的亚像素图像拼接,用于线宽测量

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摘要

The inevitable tilt angle resulting from attaching a carbon nanotube to an atomic force microscope (AFM) probe causes probe-related distortion on one sidewall of the linewidth sample during an AFM scan. In order to obtain accurate images at both sidewalls, an image stitching method was proposed in our previous research. An improved digital image correlation technique is outlined here to register two scanned images and detect the relative lateral distortion between them. Then image correction is performed pixel by pixel on both images prior to the stitching. A composite image is formed by stitching these two corrected images, and the linewidth is calculated based on this composite image. Since this method removes a significant portion of in-plane distortion between two images due to the nonlinearity of the AFM piezoelectric tube scanner, uncertainty in the calculation of linewidth due to the image stitching component is estimated to be reduced to the subpixel level from its former estimation of approximately three pixels. The procedure is tested with two standard linewidth features.
机译:将碳纳米管附着到原子力显微镜(AFM)探针上所产生的不可避免的倾斜角会在AFM扫描期间在线宽样品的一个侧壁上引起与探针相关的变形。为了在两个侧壁上获得准确的图像,在我们先前的研究中提出了图像拼接方法。这里概述了一种改进的数字图像相关技术,以配准两个扫描图像并检测它们之间的相对横向失真。然后,在拼接之前,在两个图像上逐像素执行图像校正。通过缝合这两个校正图像形成合成图像,并基于该合成图像计算线宽。由于此方法消除了由于AFM压电管扫描仪的非线性而导致的两个图像之间的面内失真的很大一部分,因此,估计由于图像拼接分量而导致的线宽计算的不确定性从以前的水平降低到了亚像素水平估计约三个像素。该过程已通过两个标准线宽功能进行了测试。

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