Ms. Yan Bei Li Profile

Yan Bei Li

at 中国科学院西安光学精密机械研究所

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Proceedings Article | 20 November 2014 Paper

Infrared small target detection based on bilateral filtering algorithm with similarity judgments

Yanbei Li, Yan Li

Proceedings Volume 9300, 93000P (2014) https://doi.org/10.1117/12.2070949

KEYWORDS: Infrared radiation, Infrared imaging, Detection and tracking algorithms, Infrared detectors, Target detection, Optical filters, Signal to noise ratio, Image filtering, Infrared technology, Spatial analysis

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Infrared small target detection is part of the key technologies in infrared precision-guided, search and track system. Resulting from the relative distance of the infrared image system and the target is far, the target becomes small, faint and obscure. Furthermore, the interference of background clutter and system noise is intense. To solve the problem of infrared small target detection in a complex background, this paper proposes a bilateral filtering algorithm based on similarity judgments for infrared image background prediction. The algorithm introduces gradient factor and similarity judgment factor into traditional bilateral filtering. The two factors can enhance the accuracy of the algorithm for smooth region. At the same time, spatial proximity coefficients and gray similarity coefficient in the bilateral filtering are all expressed by the first two of McLaughlin expansion, which aiming at reducing the time overhead. Simulation results show that the proposed algorithm can effectively suppress complex background clutter in the infrared image and enhance target signal compared with the improved bilateral filtering algorithm, and it also can improve the signal to noise ratio (SNR) and contrast. Besides, this algorithm can reduce the computation time. In a word, this algorithm has a good background rejection performance.

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