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A 0.2-terahertz ceramic relic detection system based on iterative threshold filtering imaging and neural network
Mao, Yiqing1; Wu, Tianxiang1; Chen, Yong2; Ma, Shunli1
2021-09-01
Source PublicationElectronics (Switzerland)
ISSN2079-9292
Volume10Issue:18
Abstract

Ceramic cultural relics have an important cultural value, and their detection technology plays a pivotal role in the protection of cultural relics. The traditional detection method of ceramic relics is based on X-ray technology, resulting in damage to the cultural relics. The terahertz-wave transmission is nondestructive; yet, the terahertz imaging has several technical problems, such as complex algorithms and unclear imaging. In this paper, we propose a terahertz-wave imaging system of a 0.2-terahertz operating frequency with a single input and single output and perform the transmission imaging experiment of the ceramic container. This design adopts the iterative threshold segmentation imaging method to obtain the high-quality transmission image and the neural network algorithm in the imaging recognition. Both the imaging and identification results effectively prove excellent performance, such as the high efficiency, high precision, and good reliability of the nondestructive testing system for the ceramic relics. The resolution can reach 2 mm, and the time for imaging identification can be <10 s, which will provide support for the nondestructive testing of ceramic cultural relics.

KeywordCeramic Relic Detection System Heritage Conservation Iterative Threshold Filtering Neural Network Nondestructive Testing Terahertz Wave Imaging
DOI10.3390/electronics10182213
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering ; Physics
WOS SubjectComputer Science, Information Systems ; Engineering, Electrical & Electronic ; Physics, Applied
WOS IDWOS:000699244900001
Scopus ID2-s2.0-85114617637
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionINSTITUTE OF MICROELECTRONICS
Corresponding AuthorWu, Tianxiang
Affiliation1.State-Key Laboratory of ASIC and System, Fudan University, Shanghai, 201203, China
2.State-Key Laboratory of Analog and Mixed-Signal VLSI and IME/ECE-FST, University of Macau, 999078, Macao
Recommended Citation
GB/T 7714
Mao, Yiqing,Wu, Tianxiang,Chen, Yong,et al. A 0.2-terahertz ceramic relic detection system based on iterative threshold filtering imaging and neural network[J]. Electronics (Switzerland),2021,10(18).
APA Mao, Yiqing,Wu, Tianxiang,Chen, Yong,&Ma, Shunli.(2021).A 0.2-terahertz ceramic relic detection system based on iterative threshold filtering imaging and neural network.Electronics (Switzerland),10(18).
MLA Mao, Yiqing,et al."A 0.2-terahertz ceramic relic detection system based on iterative threshold filtering imaging and neural network".Electronics (Switzerland) 10.18(2021).
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