Paper
26 March 1998 Advanced image processing for defect visualization in infrared thermography
Yuri A. Plotnikov, William P. Winfree
Author Affiliations +
Abstract
Results of a defect visualization process based on pulse IR thermography are presented. Algorithms have been developed to reduce the amount of operator participation required in the process of interpreting thermographic images. The algorithms determine the defect's depth and size from the temporal and spatial thermal distributions that exist on the surface of the investigated object following thermal excitation. A comparison of the result from thermal contrast, time derivative, and phase analysis methods for defect visualization are presented. These comparisons are based on 3D simulations of a test case representing a plate with multiple delaminations. Comparisons are also based on experimental data obtained from a specimen with flat bottom holes and a composite panel with delaminations.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yuri A. Plotnikov and William P. Winfree "Advanced image processing for defect visualization in infrared thermography", Proc. SPIE 3361, Thermosense XX, (26 March 1998); https://doi.org/10.1117/12.304745
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Cited by 20 scholarly publications.
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KEYWORDS
Thermal modeling

Thermography

3D modeling

Image processing

Binary data

Visualization

3D image processing

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