A Brief Review and Advances of Thermographic Image - Processing Methods for IRT Inspection: a Case of Study on GFRP Plate
| Autor: | A. Pirinu, V. Dattoma, Francesco W. Panella |
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| Přispěvatelé: | Panella, F. W., Pirinu, A., Dattoma, V. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Composite material
Computer science Computation media_common.quotation_subject Boundary (topology) Image processing 02 engineering and technology 01 natural sciences Thermal signal reconstruction 0103 physical sciences Contrast (vision) Computer vision MATLAB computer.programming_language media_common Differential absolute contrast 010302 applied physics Data processing Image-processing business.industry Mechanical Engineering Principal component thermography 021001 nanoscience & nanotechnology Thermographic inspection Pulsed thermography Reflection (mathematics) Mechanics of Materials Artificial intelligence 0210 nano-technology business computer |
| Popis: | The present work introduces a different data processing strategy, proposed in order to improve sub-surface defect detection on industrial composites; in addition, a resume of thermal data processing with most common algorithms in literature is presented and applied with new data. A deep comparison between the common absolute contrast, DAC, PCT, TSR and derivative methods and a new proposed contrast mapping procedure is implemented. Thermographic inspection was done in reflection mode on a Glass Fiber Reinforced Plastic plate, with flat bottom hole defects. Thermal data computation method is found to be critical for simultaneous defect detection and automatic mapping, optimized to identify defect boundaries at specific depth, with help of accurate image processing, implemented in a Matlab GUI for a reliable and rapid characterization of internal damage. The new processing approach, the Local Boundary Contrast method, elaborates different contrast maps and facilitates recognition of damage extension. Tanimoto criterion and the signal-to-noise ratio method were applied as a criterion to assess defect detectability of various processing methods. |
| Databáze: | OpenAIRE |
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