Developments in the Built Environment • Vol 21
Multi-level optimisation of feature extraction networks for concrete surface crack detection
December 2024 • Faris Elghaish, Sandra Matarneh, Farzad Pour Rahimian, Essam Abdellatef, David J. Edwards, Obuks Ejohwomu, Mohammed Abdelmegid, Chansik Park
With the increasing utilisation of deep learning (DL) for detecting and classifying distress in concrete surfaces, the demand for accurate and precise models has risen. This study proposes a novel empirical approach of multilayer optimisation for two prominent DL models, namely ResNet101 and Xception, to classify distress in concrete surfaces. Both models were trained using 20,000 images depicting various types of cracks and tested with another set of 20,000 images. Four algorithms (Sequential Motion Optimisation …