An infrared dim small target detection algorithm based on spatial and temporal fusion of mathematical morphology

Jiahao Xie; Shucai Huang; Daozhi Wei; Zhaoyu Zhang

doi:10.1117/12.2628038

18 February 2022 An infrared dim small target detection algorithm based on spatial and temporal fusion of mathematical morphology

Jiahao Xie, Shucai Huang, Daozhi Wei, Zhaoyu Zhang

Author Affiliations +

Proceedings Volume 12162, International Conference on High Performance Computing and Communication (HPCCE 2021); 121620U (2022) https://doi.org/10.1117/12.2628038
Event: 2021 International Conference on High Performance Computing and Communication, 2021, Guangzhou, China

Abstract

Aiming at infrared dim small target detection, this paper proposed a spatial and temporal fusion detection algorithm based on mathematical morphology. Firstly, the obtained infrared image is filtered in spatial domain by morphological Top-hat filtering, so that most of the background and clutter in the original infrared image are suppressed. In time domain, some fixed background is removed and the target is enhanced by three frame difference filtering, and the corresponding rules are used for fusion. The fused image is segmented by adaptive threshold to obtain the potential target points. Finally, according to the characteristics that the real target has continuity and regularity in time domain and the noise points are randomly distributed, the pipeline filtering algorithm is used to further filter the false alarm points and detect the motion trajectory of the target. Simulation results show that comparing with the Top-hat filtering and the time domain three frame filtering algorithm, the proposed fusion algorithm can effectively detect the target and accurately detect the false alarm target correctly.

Citation Download Citation

Jiahao Xie, Shucai Huang, Daozhi Wei, and Zhaoyu Zhang "An infrared dim small target detection algorithm based on spatial and temporal fusion of mathematical morphology", Proc. SPIE 12162, International Conference on High Performance Computing and Communication (HPCCE 2021), 121620U (18 February 2022); https://doi.org/10.1117/12.2628038

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KEYWORDS

Target detection

Image filtering

Image fusion

Image segmentation

Detection and tracking algorithms

Infrared radiation

Infrared imaging

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