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doi:10.4028/www.scientific.net/amr.301-303

Cited by 3 publications

(1 citation statement)

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“…However, there are many kinds of defects such as debonding, delamination and void in CFRP components during the manufacturing and service process, which greatly reduce the safety and service life of the core components [2][3] . Therefore, it is important to apply reliable non-destructive testing (NDT) techniques in the entire service circle to ensure the performance of CFRP components [4][5][6] . The thermal wave radar imaging (TWRI) technique provides an efficient and reliable inspection method combining the advantages of pulse compression modulation technology, and the matching filtering and correlation analysis were widely used to extract the delay detection images (DDI) [7] .…”

Section: Introductionmentioning

confidence: 99%

Image enhancement and edge detection for defect identification using infrared thermal wave radar imaging

tao,

Gong,

et al. 2023

Third International Conference on Optics and Communication Technology (ICOCT 2023)

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In this paper, a novel approach combining image enhancement and improved Canny-based edge detection for the thermal wave radar imaging (TWRI) was proposed to identify the internal delamination defect in carbon fiber reinforced polymer (CFRP) components. Experimental testing on artificial CFRP delamination defects was carried out. The fused method is used for defect identification. An image enhancement algorithm was firstly used to improve the contrast of the detection image. An adaptive Gaussian filter was subsequently selected to smooth the detection image for suppressing the effect of noise, and a Sobel operator with eight-directional convolution template was utilized instead of the Canny operator to calculate the gradients. A double-threshold concatenation was lastly employed to establish the contour of the defect areas. The traditional image edge detection methods and the combined method were compared and investigated. The experimental results showed that the internal delamination defects can be recognized with better sharpness and edge details by the proposed method based on image enhancement and improved Canny edge detection.

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Section: Introductionmentioning

confidence: 99%

Image enhancement and edge detection for defect identification using infrared thermal wave radar imaging

tao,

Gong,

et al. 2023

Third International Conference on Optics and Communication Technology (ICOCT 2023)

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Indoor demonstration of free-space picosecond two-way time transfer on single photon level

et al. 2014

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The practical demonstration of an optical two-way time transfer based on single photon signal level has been completed. This approach enables to reach extreme timing stabilities and minimal systematic errors using existing electrooptic technologies. The crucial condition to almost eliminate systematic errors and to reach picosecond time transfer accuracy over free space communication channel is the maximum symmetry in experimental setup. In our indoor experiment we have achieved sub-picosecond precison and 3 ps accuracy. The entire system is compact and relatively simple.

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Investigation on the dynamic characteristics of CG-6 relative gravimeter for the micro-gravity network

Liu¹,

Feng²,

Wang³

et al. 2019

Tenth International Symposium on Precision Engineering Measurements and Instrumentation

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Cited by 3 publications

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Image enhancement and edge detection for defect identification using infrared thermal wave radar imaging

Image enhancement and edge detection for defect identification using infrared thermal wave radar imaging

Indoor demonstration of free-space picosecond two-way time transfer on single photon level

Investigation on the dynamic characteristics of CG-6 relative gravimeter for the micro-gravity network

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