Infrared Small Target Detection Method Combined with Bilateral Filter and Local Entropy

According to the larger false alarm rate resulted from fluctuant clutter, a novel method combined with bilateral filter and local entropy is proposed for infrared small target detection in this paper. Firstly, the original image is respectively processed by bilateral filter and local entropy, and th...

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Bibliographic Details
Published in:Security and communication networks 2021, Vol.2021, p.1-10
Main Authors: Wang, Zhonghua, Duan, Siwei, Sun, Chengli
Format: Article
Language:English
Subjects:
Adaptive filters
Algorithms
Clutter
Entropy
False alarms
Information theory
Neighborhoods
Noise reduction
Target detection
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Summary:According to the larger false alarm rate resulted from fluctuant clutter, a novel method combined with bilateral filter and local entropy is proposed for infrared small target detection in this paper. Firstly, the original image is respectively processed by bilateral filter and local entropy, and then the two processed images are fused by point product to generate the background suppression map. Secondly, the guided filter is used to further suppress the background and enhance the small target in the map. Thirdly, the small target is detected by the adaptive threshold in the filtered map. The theoretical analyses and experimental results show that the proposed method not only effectively suppresses the clutter background, depending on the edge preserving and denoising characteristics of bilateral filtering, but also effectively highlights the small target, relying on the sensitivity of local entropy to the abrupt gray region. Compared with other methods, it is demonstrated that the proposed method owns lower false alarm rate and higher detection rate.
ISSN:1939-0114
1939-0122
DOI:10.1155/2021/6661852