Research on infrared dim and small target detection algorithm based on local contrast and gradient

ABSTRACT

The rapid development of infrared technology makes it widely applicable in such fields as military, medical, testing and communications.This paper proposes an algorithm based on local contrast and gradient (LCG). Specifically, the algorithm uses the difference of gaussian and threshold segmentation to preprocess to obtain the position of possible target points. Then, local contrast processing is conducted for the possible target points. Finally, the global is processed using an improved directional gradient. According to the experimental results, the proposed algorithm outperforms the existing algorithms in terms of detection probability and false detection probability.

KEYWORDS:

• Infrared dim and small target detection
• local contrast
• gradient

Disclosure statement

No potential conflict of interest was reported by the author(s).

Supplementary material

Supplemental data for this article can be accessed online at https://doi.org/10.1080/14498596.2022.2140714

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [No.61775140, No. 61875125, No. 62275153]; Natural Science Foundation of Shanghai [No. 18ZR1425800].