Complex Crack Segmentation and Quantitative Evaluation of Engineering Materials Based on Deep Learning Methods
Xin Jing,
Yixuan Huan,
Yu Wang
et al.
Abstract:Recognizing and quantifying microcracks on surfaces are crucial for early detection of structural damage, as they can lead to more complex issues in engineering structures. In this study, a dataset reflecting varying surface cracks on various engineering materials from the 2018 Ecuador earthquake was constructed. Furthermore, we proposed deep learning-based methods for recognizing and quantifying complex surface cracks. The methods utilized an enhanced U-Net semantic segmentation model, along with noise reduct… Show more
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