Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
To improve the robustness of concrete crack detection in complex environments that feature non-uniform illumination, low contrast, and stain noise, such as roads, bridges, I present a systematic approach for automatic crack detection on UAV images for monitoring concrete facilities such as buildings and civil structures. A two-step process was applied. First, a deep learning processing technique for region detection of cracks, and then crack detection based on the image processing and region properties. I applied transfer learning approach to use a pre-trained network in order to identify cracks. I used pixel value based binarization of image data with an edge-preserving filter, which reduced noise in the region. Experimental results from UAV images showed that our approach has a good potential to be applied to concrete crack detection.
To improve the robustness of concrete crack detection in complex environments that feature non-uniform illumination, low contrast, and stain noise, such as roads, bridges, I present a systematic approach for automatic crack detection on UAV images for monitoring concrete facilities such as buildings and civil structures. A two-step process was applied. First, a deep learning processing technique for region detection of cracks, and then crack detection based on the image processing and region properties. I applied transfer learning approach to use a pre-trained network in order to identify cracks. I used pixel value based binarization of image data with an edge-preserving filter, which reduced noise in the region. Experimental results from UAV images showed that our approach has a good potential to be applied to concrete crack detection.
Crack detection of UAV concrete surface images
Han, D. (Autor:in)
Applications of Machine Learning ; 2019 ; San Diego,California,United States
Proc. SPIE ; 11139
06.09.2019
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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