摘要
This paper presents an algorithm for detecting the small infrared target under complex background. An method, Local Mutation Weighted Information Entropy (LMWIE), is proposed to suppress background. Then, enhance targets' gray value by calculating the local energy. For the problem that the gray value of noises is enhanced with the gray value improvement of targets, image segmentation bases on the adaptive threshold. Experiment results indicate that it is a robust and effective small target detection algorithm.
源语言 | 英语 |
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主期刊名 | Sustainable Construction Materials and Computer Engineering |
页 | 615-619 |
页数 | 5 |
DOI | |
出版状态 | 已出版 - 2012 |
活动 | 2011 International Conference on Sustainable Construction Materials and Computer Engineering, ICSCMCE2011 - Kunming, 中国 期限: 24 9月 2011 → 25 9月 2011 |
出版系列
姓名 | Advanced Materials Research |
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卷 | 346 |
ISSN(印刷版) | 1022-6680 |
会议
会议 | 2011 International Conference on Sustainable Construction Materials and Computer Engineering, ICSCMCE2011 |
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国家/地区 | 中国 |
市 | Kunming |
时期 | 24/09/11 → 25/09/11 |
指纹
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Peng, G., Chen, H., & Wu, Q. (2012). Infrared small target detection under complex background. 在 Sustainable Construction Materials and Computer Engineering (页码 615-619). (Advanced Materials Research; 卷 346). https://doi.org/10.4028/www.scientific.net/AMR.346.615