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Means of eliminating background effects for defect detection and visualization in infrared thermography

机译：消除红外热成像中缺陷检测和可视化的背景效应的方法

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摘要

Pulse infrared thermography is renowned as an effective and rapid method of nondestructive inspection. The primary difficulty in making useful interpretations of a thermal image is the presence of extraneous effects such as thermal noise, optical distortion through the thermal imaging system, and of most concern, non-uniform heating through the uneven excitation of the surface. A means for removal of background trends caused by uneven illumination is presented. It is based on a polynomial fitting technique applied to a rectangular infrared image on a line-by-line basis in either horizontal or vertical directions. The polynomial coefficients are found by choosing three key pixels through a conditional iterative technique. The proposed algorithm enables improvements in flaw visibility and assists the effective application of additional image processing techniques. The procedure is found to remove trends without distorting real flaw indications as long as the indication spans less than 67 of the interval under examination.
机译：脉冲红外热成像被誉为一种有效且快速的无损检测方法。对热图像进行有用解释的主要困难是存在外来效应，例如热噪声、通过热成像系统的光学畸变，以及最令人担忧的通过表面不均匀激发的不均匀加热。提出了一种消除由不均匀照明引起的背景趋势的方法。它基于多项式拟合技术，在水平或垂直方向上逐行应用于矩形红外图像。多项式系数是通过条件迭代技术选择三个关键像素来求的。所提出的算法能够提高缺陷的可见性，并有助于有效应用其他图像处理技术。该程序被发现可以在不扭曲实际缺陷指示的情况下消除趋势，只要指示跨度小于检查间隔的 67%。

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