An Effective Correction Method for AFM Image Distortion due to Hysteresis and Thermal Drift

失真(音乐) 双线性插值 插值(计算机图形学) 算法 计算机科学 热的 磁滞 滤波器(信号处理) 像素 对角线的 计算机视觉 图像(数学) 控制理论(社会学) 人工智能 电子工程 数学 物理 工程类 几何学 控制(管理) 放大器 气象学 CMOS芯片 量子力学
作者
Yinan Wu,Zhi Fan,Yongchun Fang,Cunhuan Liu
出处
期刊:IEEE Transactions on Instrumentation and Measurement [Institute of Electrical and Electronics Engineers]
卷期号:70: 1-12 被引量:5
标识
DOI:10.1109/tim.2020.3038007
摘要

Hysteresis and thermal drift cause image distortion of atomic force microscopy (AFM). To address this issue, a hysteresis compensation algorithm based on B-spline curve fitting is first designed to correct the image distortion due to hysteresis, so as to provide a basis for further thermal drift correction. Afterward, a novel off-line drift correction algorithm based on cross diagonals' scanning is proposed to reconstruct high-quality AFM images. More precisely, according to the distorted image and the leading diagonal profile obtained by initial scanning, the drift is first calculated by template matching with an increasing sliding window. Furthermore, since the calculated drift contains a part of incorrect data, an adaptive filter is designed to generate more accurate horizontal thermal drift, based on which an undistorted image is constructed by bilinear interpolation. Finally, the performance of the proposed method is verified by convincing experimental and application results. Compared with online correction methods, the proposed approach is easier to implement since it does not require hardware improvement. Besides, compared with other off-line methods, the proposed method is simpler with less time consumption since it only needs two additional scanning lines to correct image distortion.
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