| 基于最大二维熵的被动式太赫兹安检目标分割 |
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| 引用本文： | 徐华晟,李 超,方广有.基于最大二维熵的被动式太赫兹安检目标分割[J].太赫兹科学与电子信息学报,2021,19(4):660-665. |
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| 作者姓名： | 徐华晟 李 超 方广有 |
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| 作者单位： | 1a.Aerospace Information Research Institute；1b.Key Laboratory of Electromagnetic Radiation and Sensing Technology，Chinese Academy of Sciences，Beijing 100190，China；2.School of Electronic, Electrical and Communication Engineering，University of Chinese Academy of Sciences，Beijing 100049，China |
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| 基金项目： | 广东省重点领域研发计划资助项目(2019B010157001；2020B0101110001)；国家重点研发计划资助项目(2017YFA0701004；2018YFF01013004)；国家自然科学基金资助项目(61671432；61731020；61988102)；中国科学院科技创新重点部署资助项目(KGFZD-135-18-029) |
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| 摘 要： | 针对被动式太赫兹安检的检测需求，提出一种基于最大二维熵的隐蔽目标分割方法。该方法设计了一组适用于被动式太赫兹图像的滤波器组，实现噪声过滤和图像增强；设计了一种待检区域自生成的算法，实现对重点检测区域的自动覆盖；同时，引入二维熵的概念，实现对待检测区域内的隐蔽目标的轮廓分割。在0.2 THz频段的被动成像下开展了评估和对比实验，实验表明本文方法具有较好的分割效果和实时性能。
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| 关 键 词： | 被动式太赫兹图像 图像处理 二维熵 隐蔽目标检测 目标分割 |
| 收稿时间： | 2020/11/13 0:00:00 |
| 修稿时间： | 2021/1/7 0:00:00 |
Concealed object segmentation based on maximum two-dimensional entropy for passive terahertz security |
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| XU Huasheng,LI Chao,FANG Guangyou.Concealed object segmentation based on maximum two-dimensional entropy for passive terahertz security[J].Journal of Terahertz Science and Electronic Information Technology,2021,19(4):660-665. |
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| Authors: | XU Huasheng LI Chao FANG Guangyou |
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| Abstract: | A method of the concealed object segmentation based on maximum two-dimensional entropy for passive terahertz security is proposed. The method firstly employs a filter bank to reduce image noise. A self-generated detection region algorithm is designed, which can automatically cover the key detection area. The concept of two-dimensional entropy is introduced to implement the concealed object segmentation. Evaluation and comparison experiments are conducted in 0.2 THz band passive images, demonstrating that the method has a good segmentation performance and real-time performance. It may have an important application in the automatic detection for terahertz security. |
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