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Research on infrared dim and small target detection algorithm based on local contrast and gradient
W. H. Lin; L. H. Zhang; Z. M. Shen; D. W. Zhang; J. Chen; J. Zhou; W. Peng and F. S. Wu
2022
Source PublicationJournal of Spatial Science
ISSN1449-8596
Pages18
AbstractThe 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.
DOI10.1080/14498596.2022.2140714
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Indexed Bysci
Language英语
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Document Type期刊论文
Identifierhttp://ir.ciomp.ac.cn/handle/181722/67041
Collection中国科学院长春光学精密机械与物理研究所
Recommended Citation
GB/T 7714
W. H. Lin,L. H. Zhang,Z. M. Shen,et al. Research on infrared dim and small target detection algorithm based on local contrast and gradient[J]. Journal of Spatial Science,2022:18.
APA W. H. Lin.,L. H. Zhang.,Z. M. Shen.,D. W. Zhang.,J. Chen.,...&W. Peng and F. S. Wu.(2022).Research on infrared dim and small target detection algorithm based on local contrast and gradient.Journal of Spatial Science,18.
MLA W. H. Lin,et al."Research on infrared dim and small target detection algorithm based on local contrast and gradient".Journal of Spatial Science (2022):18.
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