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Due to the effect of climate factors, natural phenomena and human usage, buildings and infrastructures are subject of progressive
degradation. The deterioration of these structures has to be monitored in order to avoid hazards for human beings and for the natural
environment in their neighborhood. Hence, on the one hand, monitoring such infrastructures is of primarily importance. On the other
hand, unfortunately, nowadays this monitoring effort is mostly done by expert and skilled personnel, which follow the overall data
acquisition, analysis and result reporting process, making the whole monitoring procedure quite expensive for the public (and private,
as well) agencies.
This paper proposes the use of a partially user–assisted procedure in order to reduce the monitoring cost and to make the obtained
result less subjective as well. The developed method relies on the use of images acquired with standard cameras by even inexperienced
personnel. The deterioration on the infrastructure surface is detected by image segmentation based on a level sets method. The results
of the semi-automated analysis procedure are remapped on a 3D model of the infrastructure obtained by means of a terrestrial laser
scanning acquisition.
The proposed method has been successfully tested on a portion of a road bridge in Perarolo di Cadore (BL), Italy
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