Improved double-neighborhood gradient infrared small target detection algorithm

Chenchen Wang; Haoxian Wang; Shuo Shen; Changqi Xu

doi:10.1117/12.2681098

23 May 2023 Improved double-neighborhood gradient infrared small target detection algorithm

Chenchen Wang, Haoxian Wang, Shuo Shen, Changqi Xu

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453Z (2023) https://doi.org/10.1117/12.2681098
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

Aiming at the problem that the double-neighborhood gradient algorithm has good real-time performance but general detection accuracy in complex environments, an improved double-neighborhood gradient infrared small target detection algorithm was proposed. Firstly, a single-scale three-layer window is used to traverse the input original image for saliency calculation, and the candidate targets are obtained after threshold processing; then the candidate targets are pixel-completed by the region growing method; finally, a final detection result is obtained by filtering the candidate targets using the gradient features of the targets. The results show that the method improves the background rejection factor and contrast gain by an average of 1.3 times and 1.6 times, respectively, compared to the double-neighborhood gradient algorithm, which can effectively suppress background clutter and enhance the target. The method in this paper has advantages in detecting infrared weak and small targets, and the effect is more significant in complex backgrounds.

Citation Download Citation

Chenchen Wang, Haoxian Wang, Shuo Shen, and Changqi Xu "Improved double-neighborhood gradient infrared small target detection algorithm", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453Z (23 May 2023); https://doi.org/10.1117/12.2681098

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KEYWORDS

Target detection

Detection and tracking algorithms

Infrared radiation

Infrared detectors

Small targets

Infrared imaging

Image processing

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