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首页> 外文会议>Conference on Nondestructive Evaluation and Health Monitoring of Aerospace Materials and Civil Infrastructures, Mar 18-19, 2002, Newport Beach, USA >Reconstruction and Enhancement of Thermographic Sequence Data
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Reconstruction and Enhancement of Thermographic Sequence Data

机译：热成像序列数据的重建和增强

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摘要

Conventional methods for analysis of pulsed thermographic NDE sequence data are highly susceptible to noise, nonlinearity of the IR camera response, and the presence of surface features on the sample. Furthermore, the ability of conventional methods to significantly improve the ability to retrieve deep or weak subsurface features beyond the original unmodified image is limited. We have developed a Thermographic Signal Reconstruction (TSR) technique that enhances defect to background contrast, increases the depth range over which pulsed thermography can be applied, and reduces the amount of blurring due to lateral diffusion that is typical of thermographic imaging. The TSR approach also reduces the amount of data that must be stored by an order of magnitude. The reduction in size of the data structure allows simultaneous manipulation of data from numerous locations on a sample, so that fast parallel processing of large structure data is possible. The results of the parallel processed TSR data consistently offer higher spatial resolution, less blurring and more precise depth and size measurement than the original data.
机译：用于分析脉冲热成像NDE序列数据的常规方法极易受到噪声，红外热像仪响应的非线性以及样品表面特征的影响。此外，常规方法显着提高了检索原始未修改图像之外的深层或薄弱地下特征的能力的能力受到限制。我们已经开发了一种热成像信号重建（TSR）技术，该技术可以增强缺陷与背景的对比度，增加可以应用脉冲热成像的深度范围，并减少由于热成像典型的横向扩散而引起的模糊量。 TSR方法还可将必须存储的数据量减少一个数量级。数据结构尺寸的减小使得可以同时处理来自样本上多个位置的数据，从而可以对大型结构数据进行快速并行处理。并行处理的TSR数据的结果始终提供比原始数据更高的空间分辨率，更少的模糊以及更精确的深度和尺寸测量。

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