TITLE:
Quantification by Signal to Noise Ratio of Active Infrared Thermography Data Processing Techniques
AUTHORS:
R. Hidalgo-Gato, J. R. Andrés, J. M. López-Higuera, F. J. Madruga
KEYWORDS:
Image Processing; Infrared Thermography; Nondestructive Testing; Active Thermography; SNR
JOURNAL NAME:
Optics and Photonics Journal,
Vol.3 No.4A,
August
9,
2013
ABSTRACT: In this paper, the use of a signal to noise ratio (SNR)
is proposed for the quantification of the goodness of some selected processing
techniques of thermographic images, such as differentiated absolute contrast,
skewness and kurtosis based algorithms, pulsed phase transform, principal
component analysis and thermographic signal reconstruction. A new hybrid
technique is also applied (PhAC—Phase absolute contrast), it combines three
different processing techniques: phase absolute contrast, pulsed phase
thermography and thermographic signal reconstruction. The quality of the
results is established on the basis of the values of the parameter SNR,
assessed for the present defects in the analyzed specimen, which enabled to
quantify and compare their identification and the quality of the results of the
employed technique.