Changchun Institute of Optics,Fine Mechanics and Physics,CAS
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 Publication | Journal of Spatial Science
![]() |
ISSN | 1449-8596 |
Pages | 18 |
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. |
DOI | 10.1080/14498596.2022.2140714 |
URL | 查看原文 |
Indexed By | sci |
Language | 英语 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://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. |
Files in This Item: | Download All | |||||
File Name/Size | DocType | Version | Access | License | ||
Research on infrared(7051KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment