Automated Crack Segmentation and Width Quantification Using Deep Learning for Structural Health Monitoring of Reinforced Concrete Structures
Accurate characterization of crack geometry is critical for assessing the durability and serviceability of Reinforced Concrete (RC) structures. Although Deep Learning (DL) has significantly improved automated crack segmentation, its effectiveness in supporting engineering measurements such as crack width remains insuff...