Automatic Detection and Delimitation of Internal Moisture in Mosaics from Thermographic Sequences. Experimental Tests
Iván Garrido,
Susana Lagüela,
Stefano Sfarra,
Hai Zhang,
Xavier P.V. Maldague
Affiliations
Iván Garrido
Applied Geotechnologies Research Group, Mining & Energy Engineering School, University of Vigo, Rúa Maxwell s/n, 36310 Vigo, Spain
Susana Lagüela
TIDOP Research Group, EPS Ávila, University of Salamanca, Calle Hornos Caleros 50, 05003 Ávila, Spain
Stefano Sfarra
Department of Industrial and Information Engineering and Economics (DIIIE), University of L’Aquila, Piazzale E. Pontieri 1, I-67100 Monteluco di Roio, L’Aquila, Italy
Hai Zhang
Computer Vision and Systems Laboratory, Department of Electrical and Computer Engineering, Université Laval, 1065, av. de la Médecine, Québec, QC, G1V 0A6, Canada
Xavier P.V. Maldague
Computer Vision and Systems Laboratory, Department of Electrical and Computer Engineering, Université Laval, 1065, av. de la Médecine, Québec, QC, G1V 0A6, Canada
InfraRed Thermography, IRT, is one of the most recent techniques to monitor heritage elements, finding existing pathologies in order to implement the required maintenance tasks. However, most IRT results on cultural heritage are interpreted subjectively. Then, this work presents a methodology for the automatic detection and delimitation of moisture inside a heritage element, a mosaic in this case, from a thermographic sequence, based on the analysis of the temperature distribution of the thermal images acquired. Comparing the experimental test results with typical thermographic algorithms, the detection performance of the algorithm proposed was similar, but the new method is able to delimit and automate the whole process.
