Pointing precision real-time measurement of attitude stabilization platform based on image processing

Kai Guo; Minjie Xu; Hu Ye; Honglin Chen; Yong Li

doi:10.1117/12.2524203

6 May 2019 Pointing precision real-time measurement of attitude stabilization platform based on image processing

Kai Guo, Minjie Xu, Hu Ye, Honglin Chen, Yong Li

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110692D (2019) https://doi.org/10.1117/12.2524203
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Pointing precision of attitude stabilization platform is important for airship during its flight and it is one of the key factors to make sure that the antenna isolates disturbance from airship and tracks target with stable attitude. Therefore, in this paper, a method of real-timely measuring pointing precision of attitude stabilization platform based on image processing is established to test attitude stabilization platform performance. In addition, a method of real-time extraction for target with Harris algorithm based on local Otsu threshold segmentation is established for real-time automatic measurement. This method overcomes the problems of long shooting distance, small imaging area of target and the bad light. The experimental results show our method can real-time measure the pointing precision for attitude stabilization platform and the measured value fits well with the design value .

Citation Download Citation

Kai Guo, Minjie Xu, Hu Ye, Honglin Chen, and Yong Li "Pointing precision real-time measurement of attitude stabilization platform based on image processing", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110692D (6 May 2019); https://doi.org/10.1117/12.2524203

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