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Automatic detection of moistures in different construction materials from thermographic images
Moisture is a pathology that damages all type of construction materials, from materials of building envelopes to materials of bridges. Its presence can negatively affect the users’ conditions of indoor comfort. Furthermore, heating and cooling energy demand can be increased by the presence of moist materials. Infrared thermography (IRT) is a common technique in the scientific field to detect moisture areas, because of its non-destructive, non-contact nature. In addition, IRT allows an earlier moisture detection compared to the analysis using visible images. In order to optimize thermographic inspections, this paper presents one of the first methodologies for the automatic detection of moisture areas affecting the surface of construction materials. The methodology is based on the application of visible image processing techniques adapted to thermographic images through the consideration of an image conversion format, a thermal criterion and a thermal and a geometric filter. The precision, recall and F-score parameters obtained are around 83.5%, 73.5% and 72.5%, respectively, considering the false positives/negatives through a series of 12 tests made in different construction materials and ambient conditions, comparing the preliminary results with existing methodologies. ; Ministerio de Economía y Competitividad | Ref. FPU16/03950 ; Ministerio de Economía y Competitividad | Ref. TEC2016-76021-C2-2-R ; Universidad de Salamanca. Cátedra Iberdrola VIII Centenario
Automatic detection of moistures in different construction materials from thermographic images
Moisture is a pathology that damages all type of construction materials, from materials of building envelopes to materials of bridges. Its presence can negatively affect the users’ conditions of indoor comfort. Furthermore, heating and cooling energy demand can be increased by the presence of moist materials. Infrared thermography (IRT) is a common technique in the scientific field to detect moisture areas, because of its non-destructive, non-contact nature. In addition, IRT allows an earlier moisture detection compared to the analysis using visible images. In order to optimize thermographic inspections, this paper presents one of the first methodologies for the automatic detection of moisture areas affecting the surface of construction materials. The methodology is based on the application of visible image processing techniques adapted to thermographic images through the consideration of an image conversion format, a thermal criterion and a thermal and a geometric filter. The precision, recall and F-score parameters obtained are around 83.5%, 73.5% and 72.5%, respectively, considering the false positives/negatives through a series of 12 tests made in different construction materials and ambient conditions, comparing the preliminary results with existing methodologies. ; Ministerio de Economía y Competitividad | Ref. FPU16/03950 ; Ministerio de Economía y Competitividad | Ref. TEC2016-76021-C2-2-R ; Universidad de Salamanca. Cátedra Iberdrola VIII Centenario
Automatic detection of moistures in different construction materials from thermographic images
Garrido González, Iván (author) / Lagüela López, Susana (author) / Sfarra, Stefano (author) / Madruga, F. J. (author) / Arias Sánchez, Pedro (author)
2019-04-29
Article (Journal)
Electronic Resource
English
DDC:
690
Automatic detection of moistures in different construction materials from thermographic images
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