WEIGHTED SUMMATION OF AFM IMAGES USING LOCAL CORRELATION METRIC

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Published: Oct 31, 2023
DOI: https://doi.org/10.52928/2070-1624-2023-41-2-18-28
Keywords:
atomic force microscopy, image combination quality assessment, global image correlation, local image correlation атомная силовая микроскопия, оценка качества комбинирования изображений, глобальная корреляция изображений, локальная корреляция изображений

Main Article Content

M. LAVETSKI
Belarusian State University of Informatics and Radioelectronics, Minsk; A. V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, Minsk
V. TSVIATKOU
Belarusian State University of Informatics and Radioelectronics, Minsk
A. BORISKEVICH
Belarusian State University of Informatics and Radioelectronics, Minsk
V. LAPITSKAYA
A. V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, Minsk
S. CHIZHIK
A. V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, Minsk

Abstract

The problem of weighted summation of component images of the surface of a material formed in two synchronous channels of an atomic force microscope (AFM) is considered. A computationally simple quality metric for combining component AFM images based on local correlation coefficients is proposed, which takes into account the contribution of each of the component AFM images to the resulting combined AFM image and the correlation between component AFM images. It is shown that local correlation provides a higher accuracy of AFM images combination quality estimation in comparison with global correlation. The dependences of the local correlation metric on the size of the correlation analysis window and the contribution of component AFM images to the resulting combined AFM images are obtained. A scheme for adaptive weighted summation of component AFM images is proposed.

Article Details

How to Cite
LAVETSKI, M., TSVIATKOU, V., BORISKEVICH, A., LAPITSKAYA, V., & CHIZHIK, S. (2023). WEIGHTED SUMMATION OF AFM IMAGES USING LOCAL CORRELATION METRIC. Vestnik of Polotsk State University. Part C. Fundamental Sciences, (2), 18-28. https://doi.org/10.52928/2070-1624-2023-41-2-18-28
Issue
No. 2 (2023)
Section
Информатика, вычислительная техника и управление
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Author Biographies

V. TSVIATKOU, Belarusian State University of Informatics and Radioelectronics, Minsk

д-р техн. наук, проф.

A. BORISKEVICH, Belarusian State University of Informatics and Radioelectronics, Minsk

д-р техн. наук, проф.

V. LAPITSKAYA, A. V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, Minsk

канд. техн. наук

S. CHIZHIK, A. V. Luikov Heat and Mass Transfer Institute of the National Academy of Sciences of Belarus, Minsk

акад. НАН Беларуси, д-р техн. наук, проф.

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