TY - JOUR
TI - Experimental study on infrared phase-locked thermal imaging inspection of carbon fiber reinforced polymer laminates
AU - Tang Qing-Ju
AU - Ji Juan
AU - Fan Wei-Ming
AU - Ran Ling
AU - An Si-Jie
AU - Zhang Tao
AU - Bu Chi-Wu
JN - Thermal Science
PY - 2022
VL - 26
IS - 2
SP - 1105
EP - 1111
PT - Article
AB - Aiming at the debonding defect of carbon fiber reinforced polymer laminates,  an infrared phase-locked thermal imaging inspection system was established,  and the influence of different defect diameter and depth parameters on the  test was analyzed. The principal component analysis algorithm and  Karhunen-Loeve Transform algorithm are used to process the image sequence,  and the signal-to-noise ratio is calculated. It is concluded that principal  component analysis algorithm can improve the image quality more. Gray  enhancement and sharpening filter are used to improve the image clarity,  thus accurately segmenting the defect features, and realize a clear and  intuitive visual image.