Infrared small target detection method based on full-direction dilation Gaussian filtering and local background estimation

Xiyu Sun; Shengda Pan

doi:10.1117/12.3026375

27 March 2024 Infrared small target detection method based on full-direction dilation Gaussian filtering and local background estimation

Xiyu Sun, Shengda Pan

Author Affiliations +

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 1310515 (2024) https://doi.org/10.1117/12.3026375
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Addressing the limitations of currently rare small target detection algorithms based on Human Visual Systems (HVS) that struggle with achieving satisfactory performance in complex backgrounds and lack high real-time capabilities, this paper introduces an innovative small target detection algorithm. This approach is founded on the integration of the Full-Direction Dilation Difference of Gaussians (FDD-DOG) and background estimation based on local contrast (LCBE). First, the high-frequency signal in the target area is enhanced by using the FDD-DOG operation, based on the difference between the real target and the background. Then, the background noise is further suppressed by assigning appropriate weights to the enhanced image by using local contrast-based background estimation. After that, the target to be detected is extracted by the adaptive threshold segmentation method. Experiments comparing the algorithm proposed in this paper with other HVS-based detection algorithms show that the method in this paper exhibits better detection performance in different infrared image sequences, where the background suppression factor is improved by an average of about 25 times and the signal-to-clutter ratio gain is improved by an average of about 15 times.

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

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Xiyu Sun and Shengda Pan "Infrared small target detection method based on full-direction dilation Gaussian filtering and local background estimation", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 1310515 (27 March 2024); https://doi.org/10.1117/12.3026375

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KEYWORDS

Target detection

Small targets

Image processing

Infrared radiation

Infrared imaging

Tunable filters

Image enhancement

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