Photonic Sensors, 2019, 9 (2): 02142, 网络出版: 2019-04-12  

Inspection Detectability Improvement for Metal Defects Detected by Pulsed Infrared Thermography

Inspection Detectability Improvement for Metal Defects Detected by Pulsed Infrared Thermography
作者单位
1 Rocket Force University of Engineering, Xi’an 710025, China
2 School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
摘要
Abstract
Aiming at the drawbacks of low contrast and high noise in the thermal images, a novel method based on the combination of the thermal image sequence reconstruction and the first-order differential processing is proposed in this work, which is comprised of the following procedures. Firstly, the specimen with four fabricated defects with different sizes is detected by using pulsed infrared thermography. Then, a piecewise fitting based method is proposed to reconstruct the thermal image sequence to compress the data and remove the temporal noise of each pixel in the thermal image. Finally, the first-order differential processing based method is proposed to enhance the contrast. An experimental investigation into the specimen containing de-bond defects between the steel and the heat insulation layer is carried out to validate the effectiveness of the proposed method via the above procedures. The obtained results show that the proposed method can remove the noise, enhance the contrast, and even compress the data reaching at 99.1%, thus improving the detectability of pulsed infrared thermography on metal defects.

, , , , , . Inspection Detectability Improvement for Metal Defects Detected by Pulsed Infrared Thermography[J]. Photonic Sensors, 2019, 9(2): 02142. Zhengwei YANG, Guangjie KOU, Yin LI1, Gan TIAN1, Wei ZHANG1, and Jietang. Inspection Detectability Improvement for Metal Defects Detected by Pulsed Infrared Thermography[J]. Photonic Sensors, 2019, 9(2): 02142.

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