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
刊名Journal of Spatial Science
2022
页码18
ISSN号1449-8596
DOI10.1080/14498596.2022.2140714
英文摘要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.
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语种英语
内容类型期刊论文
源URL[http://ir.ciomp.ac.cn/handle/181722/67041]  
专题中国科学院长春光学精密机械与物理研究所
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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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