Infrared thermography is a well-known technique for the non-destructive evaluation of artworks. In recent times, several image processing algorithms have been proposed and studied to enhance the detection of defects. Amongst them, post-processing methods based on Partial Least Squares (PLS) have shown good results in terms of reliability and detectability of defects. This work analyzes the available PLS-related algorithms for the evaluation of a fresco sample with known defects, stimulated with different heating sources. The results are compared in terms of Signal to Noise Ratio and Receiver Operating Characteristic curves.
Thermographic survey of frescoes with different thermal stimuli: a PLS-based analysis
Bison P;Bortolin A;Cadelano G;Ferrarini G;Finesso L;
2016
Abstract
Infrared thermography is a well-known technique for the non-destructive evaluation of artworks. In recent times, several image processing algorithms have been proposed and studied to enhance the detection of defects. Amongst them, post-processing methods based on Partial Least Squares (PLS) have shown good results in terms of reliability and detectability of defects. This work analyzes the available PLS-related algorithms for the evaluation of a fresco sample with known defects, stimulated with different heating sources. The results are compared in terms of Signal to Noise Ratio and Receiver Operating Characteristic curves.File in questo prodotto:
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