基于红外热波检测理论模型的红外热像数据拟合方法

Infrared Thermal Imaging Data Fitting Method Based on Theoretical Model of Infrared Thermal Wave Detection

在分析脉冲红外热波无损检测基本原理和热传导模型的基础上,提出了一种基于红外热传递模型的非线性参数拟合方法,并将其与传统的多项式法进行了对比。实验结果表明,该理论模型的拟合效果明显优于常用的低阶多项式。另外,在相同拟合效果的情况下,该模型的参数较少,具有更高的热像存储和压缩效率,是一种很有前途的红外热像数据处理方法。

After the basic principle of infrared thermal wave nondestructive detection and a heat transfer model are analyzed, a nonlinear parameter fitting method based on an infrared heat transfer model is proposed. The method is compared with the traditional polynomial method. The experimental result shows that its effectiveness is better than that of the common low-order polynomial fitting. In addition, for the same fitting effectiveness, the new method has less parameters and higher storage and compression rates. It is a promising processing method for infrared thermal image data.