Journal of Terahertz Science and Electronic Information Technology , Volume. 19, Issue 4, 660(2021)
Concealed object segmentation based on maximum two-dimensional entropy for passive terahertz security
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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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
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Received: Nov. 13, 2020
Accepted: --
Published Online: Sep. 17, 2021
The Author Email: Huasheng XU (xuhuasheng1995@163.com)