Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. The method relies on a neural network which produces an embedding for each voxel in the input image, such that the
