Research and implementation of a planimetric measurement technology based on machine vision

Qingsen Zhou; Laiding Zhao; Xiaodong Bai

doi:10.1117/12.2674728

28 April 2023 Research and implementation of a planimetric measurement technology based on machine vision

Qingsen Zhou, Laiding Zhao, Xiaodong Bai

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126261B (2023) https://doi.org/10.1117/12.2674728
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

To solve the issues with industrial traditional area measurement instruments equipped with infrared sensors, which are bulky and compute slowly, a planimetric measuring method based on machine vision is developed. The area of the plane is calculated through three processes: 3-D reconstruction by monocular camera calibration, top view by perspective transformation and image segmentation to obtain the proportion of the object to be measured. This paper enhances the calculation of the world coordinate points in the 3-D reconstruction process and lowers the measurement error from more than 1% to 0.28%. It solves the drawbacks of the conventional measuring device, which is huge and slow, and can correctly measure the planar area with less expensive hardware, which has certain application value.

Citation Download Citation

Qingsen Zhou, Laiding Zhao, and Xiaodong Bai "Research and implementation of a planimetric measurement technology based on machine vision", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126261B (28 April 2023); https://doi.org/10.1117/12.2674728

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