Study on probability of detection for fatigue cracks in sonic infrared imaging

Zhu, Junzhen; Zhang, Chao-sheng; Fan, Feng; Qin, Min; Xu, Chunxiang

doi:10.1016/j.infrared.2016.06.012

Cited by 11 publications

(1 citation statement)

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“…Various imaging techniques include infrared imaging [5,6], passive millimeter-wave (MMW) imaging [7][8][9], active MMW imaging [10,11], X-ray imaging [12,13] and holographic imaging [14][15][16][17] have been investigated for concealed metallic object detection. Recent studies have demonstrated that passive MMW imaging has the most potential to become a useful tool to identify concealed MFOs under clothing [18,19], which has been investigated for various applications include security, military, surveillance and biomedical [20].…”

Section: Introductionmentioning

confidence: 99%

3D Holographic Millimeter-Wave Imaging for Concealed Metallic Forging Objects Detection

Wang¹

2018

Emerging Microwave Technologies in Industrial, Agricultural, Medical and Food Processing

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This chapter investigates the feasibility of using 3D holographic millimeter-wave (HMMW) imaging for diagnosis of concealed metallic forging objects (MFOs) in inhomogeneous medium. A 3D numerical system, including radio frequency (RF) transmitters and detectors, various realistic MFOs models and signal and imaging processing, is developed to analyze the measured data and reconstruct images of target MFOs. Simulation and experimental validations are performed to evaluate the HMMW approach for diagnosis of concealed MFOs. Results show that various concealed objects can be clearly represented in the reconstructed images with accurate sizes, locations and shapes. The proposed system has the potential for further investigation of concealed MFOs under clothing in the future, which has the potential applications in on body concealed weapon detection at security sites or MFOs detection in children.

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