Deep learning enhanced terahertz imaging of silkworm eggs development
Hongting Xiong,
Jiahua Cai,
Weihao Zhang,
Jingsheng Hu,
Yuexi Deng,
Jungang Miao,
Zhiyong Tan,
Hua Li,
Juncheng Cao,
Xiaojun Wu
Affiliations
Hongting Xiong
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Jiahua Cai
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Weihao Zhang
School of Cyber Science and Technology, Beihang University, Beijing 100191, China
Jingsheng Hu
College of Engineering, Peking University, Beijing 100191, China
Yuexi Deng
College of Engineering, Peking University, Beijing 100191, China
Jungang Miao
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
Zhiyong Tan
Key Laboratory of Terahertz Solid State Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050 China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Hua Li
Key Laboratory of Terahertz Solid State Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050 China
Juncheng Cao
Key Laboratory of Terahertz Solid State Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050 China; Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
Xiaojun Wu
School of Electronic and Information Engineering, Beihang University, Beijing 100191, China; School of Cyber Science and Technology, Beihang University, Beijing 100191, China; Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074 China; Corresponding author
Summary: Terahertz (THz) technology lays the foundation for next-generation high-speed wireless communication, nondestructive testing, food safety inspecting, and medical applications. When THz technology is integrated by artificial intelligence (AI), it is confidently expected that THz technology could be accelerated from the laboratory research stage to practical industrial applications. Employing THz video imaging, we can gain more insights into the internal morphology of silkworm egg. Deep learning algorithm combined with THz silkworm egg images, rapid recognition of the silkworm egg development stages is successfully demonstrated, with a recognition accuracy of ∼98.5%. Through the fusion of optical imaging and THz imaging, we further improve the AI recognition accuracy of silkworm egg development stages to ∼99.2%. The proposed THz imaging technology not only features the intrinsic THz imaging advantages, but also possesses AI merits of low time consuming and high recognition accuracy, which can be extended to other application scenarios.
