Advances in RGB Projection Technique for Thermographic NDT: Channels Selection Criteria and Visualization Improvement

Infrared thermographic nondestructive testing is a proven technology for material inspection and characterization that is based on the analysis of the dynamic thermal behavior of specimens induced by an intentional and controlled external stimulation. The analysis and review of the image sequences r...

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Bibliographic Details
Published in:International journal of thermophysics 2018-08, Vol.39 (8), p.1-29, Article 95
Main Authors: Venegas, P., Usamentiaga, R., Perán, J., de Ocáriz, I. Sáez
Format: Article
Language:English
Subjects:
Channels
Classical Mechanics
Color imagery
Condensed Matter Physics
Geophysics
Icppp 19
ICPPP-19: Selected Papers of the 19th International Conference on Photoacoustic and Photothermal Phenomena
Image detection
Image processing
Industrial Chemistry/Chemical Engineering
Inspection
Nondestructive testing
Physical Chemistry
Physics
Physics and Astronomy
Thermodynamic properties
Thermodynamics
Thermography
Visualization
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Summary:Infrared thermographic nondestructive testing is a proven technology for material inspection and characterization that is based on the analysis of the dynamic thermal behavior of specimens induced by an intentional and controlled external stimulation. The analysis and review of the image sequences resulting from the inspections is time consuming, which cancels out the advantage provided by the quick inspection process. The RGB projection method has been recently proposed to overcome this limitation. This method synthesizes long sequences into only one true color image, selecting the three most representative images from the original sequence. This study advances the development of this methodology by automating the selection of the channels to be included in the RGB image, making the process objective. Seven different criteria based on different metrics are proposed to select the channels. They are analyzed and evaluated by theoretical and real thermographic tests obtaining RGB images that contain up to 99.6 % of the defects detected in the original thermographic sequences. Visualization improvement is also provided to the RGB image by image processing algorithms.
ISSN:0195-928X
1572-9567
DOI:10.1007/s10765-018-2417-9