Paper
15 March 1996 Estimation of depth, width, and magnitude of material inhomogeneities from photothermal measurements
Uwe R. Seidel, Heinz-Guenter Walther
Author Affiliations +
Abstract
A technique by which subsurface thermal inhomogeneities can be quantitatively reconstructed from photothermal images is discussed. The approach is based on the fact that the photothermal signal can be expressed as the spatial convolution of the photothermal point spread function and the shape function of the hidden object. Numerical simulations demonstrate the performance and the limits of the approach. Experimental results obtained from a low thermal contrast sample are presented and compared with the theory.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Uwe R. Seidel and Heinz-Guenter Walther "Estimation of depth, width, and magnitude of material inhomogeneities from photothermal measurements", Proc. SPIE 2766, Thermosense XVIII: An International Conference on Thermal Sensing and Imaging Diagnostic Applications, (15 March 1996); https://doi.org/10.1117/12.235381
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KEYWORDS
Point spread functions

Signal to noise ratio

Deconvolution

Convolution

Modulation

Tin

Diffusion

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