Crack Detection on Concrete Surfaces Using V-shaped Features
Authors: Yoshihiro Sato, Yue Bao, Yutaro Koya
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For the maintenance of concrete structures, cracks are an important indicator to determine the repair priorities. Until a few years ago, it was visually inspected by
workers. Recently, the crack detection methods by using image analysis have been proposed. But, the methods are difficult to detect the cracks on the concrete surface with
unevenness and stains. In this paper, we propose a crack detection method using V-shaped Features and propose a V-shaped detector for detecting V-shaped Features. The V-shaped
detector is possible to detect cracks with a high degree of accuracy. It is possible to perform noise processing using the shape and size of the crack detected by V-shaped
Features. Several experiments were carried out using this proposal method. As the results of the experiments, it was confirmed that cracks of 0.2 mm or less can be detected.