Bachelor's Thesis
Automatic Damage Detection on Metallic Surfaces
Advisor
Sajjad Taheri
Date
15.11.2019
Studying different methods to visually detect the damages on metallic surfaces, from simple background subtraction to supervised and unsupervised machine learning approaches, and performing an experiment to compare the results.