热成像
对数
主成分分析
信号(编程语言)
灵敏度(控制系统)
人工智能
算法
红外线的
信噪比(成像)
噪音(视频)
计算机科学
图像(数学)
衍生工具(金融)
相位差
材料科学
相(物质)
光学
数学
工程类
电子工程
物理
金融经济学
数学分析
量子力学
经济
程序设计语言
作者
Li Wang,Ning Tao,Zhuoqiao Wu,Jiangang Sun,Cunlin Zhang
摘要
Pulse phase thermography (PPT), principal component thermography (PCT) method and Thermal signal reconstruction (TSR) analysis including Logarithmic First-Derivative (LFD) and Logarithmic Second-Derivative (LSD) method have been widely used to improve detection sensitivity and quantitative measurement accuracy in infrared thermal imaging. In this paper, the difference of pulsed thermography results of aluminum specimens with flat bottom holes (FBHs) under PPT method, PCT method and LFD and LSD method was compared. With the result of the above methods, the multi-image average method is proposed to further improve the signal-to-noise ratio at the defect of images. Finally, the difference between the original result and the improved result are compared.
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