Paper
4 April 2023 Research on measurement method of submicron linewidth based on microscopic vision
Author Affiliations +
Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 1261770 (2023) https://doi.org/10.1117/12.2666760
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China
Abstract
In this paper, a submicron linewidth measurement method based on computer microscopic imaging technology to improve the measuring precision is proposed. Firstly, the microscopic image of the standard line pair is taken at the magnification M, and the pixel representing distance (PRD) of the microscopic image is calibrated. Secondly, the noise of the image is eliminated by the median filtering technology, and then the minimum ambiguity criterion of direction information measurement is used to quickly identify the edge boundary points of linewidth. Then, the edge points of the linewidth are fitted and filled to form a regular geometry shape, which can be accurately located by using the cascaded Hough transform algorithm. Finally, in order to verify the validity of the method, several representative linewidths are selected on the standard sample plate to repeat the measurement nine times, the experimental results show that for line width greater than 2 μ m, the error of measuring linewidth with the method studied in this paper is less than 0.1 μ m. Therefore, this method reveals the possibility of high-precision measurement of linewidth through microscopic images, and makes it be a much better option to be employed for further micro-nano structures analysis applications.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chong Yue, YueQing Ding, Lei Tao, Xin Chen, and Jin Zhou "Research on measurement method of submicron linewidth based on microscopic vision", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 1261770 (4 April 2023); https://doi.org/10.1117/12.2666760
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KEYWORDS
Image processing

Digital filtering

Technology

Nonlinear filtering

Calibration

Hough transforms

Image filtering

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