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Disorder e.g. fissure, detecting method for e.g. bridge, involves classifying hollows of binary image relative to predetermined classification criteria for detecting presence of disorder among criteria in construction
Disorder e.g. fissure, detecting method for e.g. bridge, involves classifying hollows of binary image relative to predetermined classification criteria for detecting presence of disorder among criteria in construction
The method involves acquiring a digital image at grey levels of a part of a concrete or masonry construction. The digital image is transformed into a binary image designating zones, of the digital image, forming grey level hollows, which have a depth higher than a predetermined threshold. The hollows of the binary image are classified relative to predetermined classification criteria e.g. tortuosity of the hollows, for detecting presence of a disorder among the criteria in the construction.
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