A comparison of image processing algorithms for thermal nondestructive evaluation

Joseph N. Zalameda; Nikolas Rajic; William P. Winfree

doi:10.1117/12.485869

1 April 2003 A comparison of image processing algorithms for thermal nondestructive evaluation

Joseph N. Zalameda, Nikolas Rajic, William P. Winfree

Proceedings Volume 5073, Thermosense XXV; (2003) https://doi.org/10.1117/12.485869
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

Thermography involves the application of heat to a structure and observation of surface temperature anomalies to reveal subsurface defects. Detection of subsurface defects can be greatly enhanced by the real time capture of a series of thermal images in time and the subsequent analysis of these images using various image processing algorithms. By applying image-processing algorithms, defects not readily observable can be detected and quantitatively characterized. The focus of this work is to investigate several of the numerous data reduction algorithms for thermal nondestructive evaluation by comparing results on a set of test samples. Some new types of data reduction algorithms have been recently developed with advantages such as noise reduction, file size compression, and material property measurements. By comparing various algorithms on factors such as computational speed, simplicity of use, robustness to noise, quantitative information, and optimum defect detection the most efficient algorithm may be chosen based on the user’s needs.

Citation Download Citation

Joseph N. Zalameda, Nikolas Rajic, and William P. Winfree "A comparison of image processing algorithms for thermal nondestructive evaluation", Proc. SPIE 5073, Thermosense XXV, (1 April 2003); https://doi.org/10.1117/12.485869

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