An Active Infrared Thermal Imaging Thermal Image Sequence Processing Method

Abstract

The invention discloses an active infrared thermal imaging thermogram sequence processing method, and belongs to the field of image processing. The method comprises the steps that an original thermalimaging space-time sequence and a thermal diffusivity estimated value of a measured object are acquired as input; a Gauss low-pass filter f1 is designed to carry out Gauss noise reducing filtering processing on the original thermal imaging space-time sequence, and a filtered original thermal imaging space-time sequence is obtained; the filtered original thermal imaging space-time sequence is subjected to boundary expansion, and an expanded array is obtained; the expanded array is subjected to Fourier transformation at the time dimension, and a time array is obtained, wherein the conversion frequency is omega; the time array is subjected to Bessel transformation at the plane dimension, wherein the corresponding conversion frequency is ksi; the result of Bessel transformation at the plane dimension and the thermal diffusivity estimated value in step 1 are used for calculating an inverse solution convolution kernel based on pseudo-Bessel wavelets in the Fourier-Bessel frequency domain; the result of the inverse solution convolution kernel is subjected to inverse solution thermal diffusion treatment, and the result of inverse solution thermal diffusion is used for constructing an equivalent inverse function of the high-pass filter f1 in the frequency domain.

Description

technical field [0001] The invention particularly relates to the field of image processing, in particular to an active infrared thermal imaging thermal image sequence processing method. Background technique [0002] Carbon fiber composites are successfully used in aircraft and shipbuilding industries due to their excellent yield strength and flexibility. However, delamination and foreign impurities induced during the manufacturing process can greatly reduce the mechanical properties of carbon fiber composites. Therefore, non-destructive testing of defects in carbon fiber composites is particularly important to ensure their reliability in service. [0003] Pulse thermography has been recognized as a mature non-destructive testing technique for detecting defects in carbon fiber composites. However, pulse thermography faces two major challenges: one is that the test surface is affected by uncontrollable non-uniform thermal excitation, and the other is that the thermal diffusi...

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Moreover, short bursts of intense light excitation are uncomfortable and even harmful to the human eye

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