Infrared modulated thermography based on the adaptive complex Morlet wavelet analysis

Abstract

An adaptive infrared modulated image sequence processing method based on the complex Morlet wavelet analysis is proposed for the modulated thermography of composite materials, focusing on the complicated parameter selections. A wavelet scale selection algorithm is proposed according to the modulation frequency of thermal excitation and the sampling frequency of infrared imaging. The phase images obtained using this method and FFT are compared. The results show that the method can select the scale parameter of wavelet analysis automatically, and has a good tolerance to the change of modulation frequency.