F. J. Madruga, C. Ibarra-Castanedo, O. M. Conde, et al., “Enhanced Contrast Detection of Subsurface Defects by Pulsed Infrared Thermography Based on the Fourth Order Statistic Moment, Kurtosis,” Proceedings of the SPIE— The International Society for Optical Engineering, 14 April 2009, Article ID: 72990U.

has been cited by the following article:

• 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.