UAV image stabilization algorithm based on improved Shi-Tomasi

Xiaoquan Shi; Zhangjun Peng; Zhigui Liu; Li Li; Daoguang Liu; Zhixin Luo

doi:10.1117/12.3006210

10 October 2023 UAV image stabilization algorithm based on improved Shi-Tomasi

Xiaoquan Shi, Zhangjun Peng, Zhigui Liu, Li Li, Daoguang Liu, Zhixin Luo

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994I (2023) https://doi.org/10.1117/12.3006210
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

As the UAV is susceptible to its own engine vibration and irregular airflow in the inspection process, the image sequence collected has jitter, which affects the reliability of the inspection results. To solve this problem, this paper proposes an improved Shi-Tomasi algorithm combined with a selective mechanistic motion model for UAV inspection image stabilization algorithm to eliminate the jitter component of images and produce stable images. Firstly, the feature points in the image are extracted by using the improved Shi-Tomasi algorithm, and feature point matching is performed by using optical flow tracking. Then the motion model is determined to describe the inter-frame motion by a selection mechanism based on the matched feature point pairs. The obtained original motion trajectories are turned into smooth trajectories by sliding filtering, and finally stable images are generated by warping and cropping. The experimental data use the UAV inspection image sequences collected by ourselves. The experimental results demonstrate the good performance of the proposed algorithm, which can quickly and effectively eliminate the image dithering.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoquan Shi, Zhangjun Peng, Zhigui Liu, Li Li, Daoguang Liu, and Zhixin Luo "UAV image stabilization algorithm based on improved Shi-Tomasi", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994I (10 October 2023); https://doi.org/10.1117/12.3006210

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KEYWORDS

Unmanned aerial vehicles

Image stabilization

Motion estimation

Optical flow

Image processing

Detection and tracking algorithms

Motion models

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