Infrared Thermal Imaging Data Fitting Method Based on Theoretical Model of Infrared Thermal Wave Detection
基于红外热波检测理论模型的红外热像数据拟合方法

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.