Global ETD Search

1	Numerical models for Rayleigh wave scattering from surface features Blake, Richard John January 1988 (has links) No description available. 620.0044
2	The integration of innovative vision and graphic modelling techniques for surface inspection Smith, Melvyn Lionel January 1998 (has links) No description available. 621.3994
3	Application of Deep-learning Method to Surface Anomaly Detection / Tillämpning av djupinlärningsmetoder för detektering av ytanomalier Le, Jiahui January 2021 (has links) In traditional industrial manufacturing, due to the limitations of science and technology, manual inspection methods are still used to detect product surface defects. This method is slow and inefficient due to manual limitations and backward technology. The aim of this thesis is to research whether it is possible to automate this using modern computer hardware and image classification of defects using different deep learning methods. The report concludes, based on results from controlled experiments, that it is possible to achieve a dice coefficient of more than 81%. Image processing Deep learning Mask R-CNN Surface anomaly detection Surface defect detection Computer Sciences Datavetenskap (datalogi)