Location

Brunswick, ME

Start Date

1-1-1992 12:00 AM

Description

The purpose of this study is to improve the quality of thermal wave infrared (IR) images in terms of the real shape of the defect. Due to heat diffusion into the sample, thermal wave images are usually blurred, especially for deep defects or long times. Because of this feature the use of traditional image post-processing (gradient image, threshold…) to assess the size and the shape of the defect quite often leads to false results. In order to increase the accuracy in the shape recovery, we need to “unblur” the thermal wave image, i.e. to reverse or invert the blurring process. To do so, our approach is to model the physical process such that a space description of the defect is involved parametrically and from that model to invert the image.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

11A

Chapter

Chapter 1: Fundamentals of Standard Techniques

Section

Thermal Techniques

Pages

417-423

DOI

10.1007/978-1-4615-3344-3_52

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Analytic Calculations and Numerical Simulations of Box-Car Thermal Wave Images of Planar Subsurface Scatterers

Brunswick, ME

The purpose of this study is to improve the quality of thermal wave infrared (IR) images in terms of the real shape of the defect. Due to heat diffusion into the sample, thermal wave images are usually blurred, especially for deep defects or long times. Because of this feature the use of traditional image post-processing (gradient image, threshold…) to assess the size and the shape of the defect quite often leads to false results. In order to increase the accuracy in the shape recovery, we need to “unblur” the thermal wave image, i.e. to reverse or invert the blurring process. To do so, our approach is to model the physical process such that a space description of the defect is involved parametrically and from that model to invert the image.