Multistep hybrid learning: CNN driven by spatial–temporal features for faults detection on metallic surfaces
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.4.041005
Abstract: Abstract. Solutions for the quality control of metallic surfaces are proposed. Specifically, we study a deflectometric apparatus based on coaxial structured light and the related algorithmic procedure, which is able to detect the faulty surface… read more here.
Keywords: cnn driven; metallic surfaces; learning cnn; multistep hybrid ... See more keywords