A Deep Learning-Based Patch Classification Approach for Metal Surface Defect Detection: A Multi-Model Comparison
In this study, a deep learning-based patch classification system was developed for the automatic detection of structural defects in seam/weld lines on industrial metal surfaces. A total of 19,197 image patches of size ${64} \times {64}$ pixels, obtained through a hierarchical labeling process using the LabelMe tool, we...