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The REPARTI Seminars at Université Laval are held on Fridays at 11:30 a.m.
Please see the program for more details.
Dec 14 2017 1:30PM
Seminar
Deep 6-DOF Tracking
Dec 15 2017 11:00AM
Seminar
Building and Evaluating Data-Driven Neural Dialogue Systems

 

 

 

REPARTI

MIVIM

Mar 14 2008 11:30AM

Matthieu Klein

Thermographic signal processing through correlation operators in pulsed thermography



Abstract

In active non-destructive testing by IR thermography, the sample to be tested is usually excited with an external source of heat. The source is either modulated in the case of lock-in thermography, or instantaneous in the case of pulsed thermography (PT). In both cases the transient state of heat diffusion is recorded as a sequence of N infrared images for a duration of time t. The biggest defects are obvious and immediately noticeable from single raw IR images. To detect smaller defects within the sample, efficient enhancement methods of the signature of the heat diffusion over the inspected specimen are needed. Most of the time, these methods involve the time dimension, i.e. the temperature evolution of the sample over the surface. For example the FFT images of the PPT characterize the temperature signal over the time of a given point at the surface of the specimen. Comparing the FFT coefficients between each pixel or from one area to the other over the surface of the sample quickly reveals defective areas that are behaving differently from sound areas. Another similar example is the TSR when used with the 1st and 2nd derivative or with polynomial coefficients. The Principal component thermography (PCT) also exploits the decomposition of the time-varying temperature signal, so does to some extent the DAC contrast. In other words, an image obtained with one of these image processing methods depends on more than one IR image of the IR sequence of images.

This presentation explains how to use the correlation coefficients as an alternative way to characterize the relative difference of the temperature evolution over the time of a sequence of IR images. The correlation coefficient technique is a well-known technique to characterize the linearity between 2 signals. Vavilov defined the correlation technique as calculating the coefficient of correlation between the temperature evolution function of each pixel and the temperature evolution function of a chosen reference point. Although the advantages and disadvantages of the correlation images have not been well explored in the context of PT and modulated thermography.


The CVSL seminars are held on Fridays at 11:30 a.m. in room PLT-2700.




     
   
   

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