Application of trust region method in infrared image sequence processing

被引：0
|
作者：
Wan L. [1 ,2 ]
Xiong N. [1 ,2 ]
Wang D. [1 ,2 ]
Wang Z. [1 ,2 ]
机构：
[1] School of Aeronautics and Astronautics, University of Electronic and Technology of China, Chengdu
[2] Aircraft Swarm Intelligent Sensing and Cooperative Control Key Laboratory of Sichuan Province, Chengdu
来源：
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2020年 / 49卷 / 07期
关键词：
Infrared NDT; PCA; Region-growing; TRR algorithm;
D O I：
10.3788/IRLA20190505
中图分类号：
学科分类号：
摘要：
In the process of collecting thermal images of infrared nondestructive testing (NDT) with light source as the excitation, due to the influence of uneven heating, environmental radiation and other factors, the collected thermal image sequence has problems such as high background noise, low contrast and poor display effect of defects, which are easy to cause the omission of defects. In order to improve the defect detection rate, infrared thermal image sequence processing technology based on Trust Region Reflective (TRR) algorithm was proposed. Firstly, the background noise surface with uneven heating was fitted by TRR algorithm, and the background surface obtained by fitting was subtracted from the original thermal images to remove the background noise caused by uneven heating. Then, Principal Component Analysis (PCA) algorithm was used to extract the defect feature information of the thermal image sequence after removing the background, so as to further improve the signal-to-noise ratio of the infrared thermal wave images. Finally, the defect region was segmented by region-growing algorithm. The experimental results show that a combination of these algorithms can effectively improve the signal-to-noise ratio of the infrared thermal image, thus improve the defect detection rate. © 2020, Editorial Board of Journal of Infrared and Laser Engineering. All right reserved.
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