Spray droplet field reconstruction based on synthetic aperture imaging

Xiangju Qu; Hao Liu; Rui Qu; Yulong Qi; Chang Liu; Xiang Liu

doi:10.1117/12.3017960

30 April 2024 Spray droplet field reconstruction based on synthetic aperture imaging

Xiangju Qu, Hao Liu, Rui Qu, Yulong Qi, Chang Liu, Xiang Liu

Proceedings Volume 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition; 1315611 (2024) https://doi.org/10.1117/12.3017960
Event: Sixth Conference on Frontiers in Optical Imaging Technology and Applications (FOI2023), 2023, Nanjing, JS, China

Abstract

Quantitative analysis of spray droplet fields plays a pivotal role in various domains, encompassing internal combustion engine combustion diagnostics, equipment spray coating and corrosion prevention, and unmanned aerial vehicle-based agricultural pesticide dispersion. Precise measurement of the spatial distribution of spray droplet fields facilitates accurate control and orientation of spraying, thereby propelling the intelligent evolution of both industrial and agricultural sectors. In light of the substantial dimensions of spray fields, achieving focused imaging of all droplets on the camera imaging plane during reconstruction proves unattainable. Addressing this challenge, this study suggests employing a four-camera array configuration. According to the characteristics of the defocusing blur of spray droplets, the cameras on the array capture images of the droplets from diverse perspectives. Subsequently, these images are merged through a refocusing process. This method offers accurate extraction of out-of-focus droplet centers. Employing three-dimensional cross-correlation analysis, the motion trajectories of the spray droplet field can be inferred with precision.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangju Qu, Hao Liu, Rui Qu, Yulong Qi, Chang Liu, and Xiang Liu "Spray droplet field reconstruction based on synthetic aperture imaging", Proc. SPIE 13156, Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition, 1315611 (30 April 2024); https://doi.org/10.1117/12.3017960

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