A rocket image segmentation method based on genetic algorithm

Yu Zhao; Li Zhang; Xinghua Zhang; Shibin Hu; Changzhe Si; Yiyong Lin

doi:10.1117/12.2689574

31 July 2023 A rocket image segmentation method based on genetic algorithm

Yu Zhao, Li Zhang, Xinghua Zhang, Shibin Hu, Changzhe Si, Yiyong Lin

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127471Z (2023) https://doi.org/10.1117/12.2689574
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

Segment the rocket target from the live image has a wide range of application scenarios in the space launch. Aiming at the problem of determining the optimal threshold in the traditional image segmentation, this paper proposed a method to determine the optimal threshold and then carry out image segmentation based on genetic algorithm. And the image segmentation result obviously enhanced, but there are many judgment and large amount of code, which need to be further optimized in the follow-up research.

Citation Download Citation

Yu Zhao, Li Zhang, Xinghua Zhang, Shibin Hu, Changzhe Si, and Yiyong Lin "A rocket image segmentation method based on genetic algorithm", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127471Z (31 July 2023); https://doi.org/10.1117/12.2689574

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