Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans

no code implementations • 4 Jan 2019 • Tomasz Konopczyński, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser

We present the first attempt to perform short glass fiber semantic segmentation from X-ray computed tomography volumetric datasets at medium (3. 9 {\mu}m isotropic) and low (8. 3 {\mu}m isotropic) resolution using deep learning architectures.

Semantic Segmentation

Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data

no code implementations • 4 Jan 2019 • Tomasz Konopczyński, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser

We suggest both the metrics and this data set as a reference for studying the performance of different algorithms.

Computed Tomography (CT)

Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images

no code implementations • 6 Jan 2019 • Tomasz Konopczyński, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser

Following their idea of feature learning instead of hand-crafted filters, we have extended the method to learn 3D features.

Dictionary Learning

An Optimal Experimental Design Approach for Light Configurations in Photometric Stereo

no code implementations • 11 Apr 2022 • Hamza Gardi, Sebastian F. Walter, Christoph S. Garbe

For the calculation of the surface normal of a Lambertian surface, the approach based on calibrated photometric stereo; for the estimation the optimal position of the light sources the approach is premised on parameter estimation and optimum experimental design.

Experimental Design Position