Terahertz Spectroscopy and Imaging

Cunlin, 张存林 Zhang; Kaijun, 牧凯军 Mu

doi:10.3788/lop47.023001

Cited by 5 publications

(3 citation statements)

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“…4 shows the structure of the single detector THz imaging system. The system contains a backward wave oscillator, a chopper-wheel, a group of lenses, a measured object, a shelter, a random template, a automatically template changing mechanism, a pyroelectric detector, a motor diver, an optical chopper controller, a lock-in amplifier, a DAU and a computer [8]. First, the chopper-wheel modulates the THz wave, which is transmitted by the backward wave oscillator, into the square wave.…”

Section: Designing Terahertz Imaging Systemmentioning

confidence: 99%

A Terahertz Compressive Imaging Method Based on Single Detector of Randomly Moving Template

Shang

Wang

et al. 2013

AMR

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Expensiveness and lack of N-pixels sensor affect the application of terahertz imaging. New compressed sensing theory recently achieved a major breakthrough in the field of signal codec, making it possible to recover the original image by using the measured values, which have much smaller number than the pixels in the image. In this paper, by comparing the measurement matrices based on different reconstruction algorithms, such as Orthogonal Matching Pursuit, Compressive Sampling Matching Pursuit and Minimum L_1 Norm algorithms, we proposed a terahertz imaging method based on single detector of randomly moving measurement matrices, designed the mobile random templates and an automatically template changing mechanism, constructed a single detector imaging system, and completed the single terahertz detector imaging experiments.

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Section: Designing Terahertz Imaging Systemmentioning

confidence: 99%

A Terahertz Compressive Imaging Method Based on Single Detector of Randomly Moving Template

Shang

Wang

et al. 2013

AMR

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“…Signal transmit to scan a certain position of the object, reflection signal or transmission signal is received. The receiver will be output reflection signal or transmission signal to the vector network analyzer, and then, scanning platform control system will control scanning platform moving a step to measure the next point on the object [13]. To realize measurement of each point on the object to be tested through the movement of the scanning platform, of which scanning platform step precision determines the precision of imaging and the resolution of the image.…”

Section: Test Methodsmentioning

confidence: 99%

The Realization of the Millimeter Wave Imaging System Based on Vector Network Analyzer

Yang¹,

Jia²,

Sun³

2017

dtcse

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Using the vector network analyzer hand spread spectrum module, the attenuation characteristics of THz wave near the 75 GHZ to 110 GHZ(W), the characteristics or internal defects of the object can be imaged, through the reflected and transmitted treatment. The use of Matlab platform to study and analysis on a variety of imaging algorithm and the image processing, feature selection for object accurate imaging algorithm, realize high-resolution images show that efficient internal defect coal imaging information.

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“…However, at the same time, the ceramic adhesive bonding components will have debonding defects due to process quality and environment during the preparation process, which greatly reduces their performance, thereby affecting the stability of the device and causing great safety hazards. Therefore, the use of terahertz nondestructive testing to imagine the debonding defects of ceramic cemented structural parts is an important means to ensure the quality and safety of the devices [1] .…”

Section: Introductionmentioning

confidence: 99%

Study on terahertz time-domain spectroscopy imaging method for bonding mass of fine ceramic components

Tang,

Zhu,

Zhang

et al. 2023

Third International Computing Imaging Conference (CITA 2023)

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Terahertz has been rapidly developed and applied in the field of non-destructive testing because of its features such as perspective and safety. Ceramic devices have the advantages of high-temperature resistance and fatigue resistance and are now widely used in various fields. But at the same time, the ceramic device will have debonding defects due to process quality and environmental problems during the preparation process, which greatly reduces its performance. In this paper, terahertz time-domain spectroscopy is used to image defects in ceramics. Firstly, the optical parameters of ceramics are extracted by transmission terahertz time-domain spectroscopy, and then the defects of ceramics are imaged by maximum imaging, time-of-flight imaging, peak-to-peak imaging, and peak-to-peak time imaging. The defect image obtained by the imaging method is clearer. The type and size of defects can be further obtained by using the terahertz time-domain imaging method, which is an effective method to ensure the quality and safety of devices.

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Terahertz Spectroscopy and Imaging

Cited by 5 publications

References 0 publications

A Terahertz Compressive Imaging Method Based on Single Detector of Randomly Moving Template

A Terahertz Compressive Imaging Method Based on Single Detector of Randomly Moving Template

The Realization of the Millimeter Wave Imaging System Based on Vector Network Analyzer

Study on terahertz time-domain spectroscopy imaging method for bonding mass of fine ceramic components

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