14–17 May 2018
New Orleans
US/Central timezone

Abstracts from MS 2.06: New Trends in Image Processing: From Discrete Tomography over Machine Learning to in-situ Contact Angle Measurement

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ID Title State Accepted type Reviewed
74 Microstructural characterization via Minkowski-functional-based global descriptors
Accepted
Poster
86 Multi-Step Segmentation Protocol for Digital Rock Systems
Accepted
Oral 20 Minutes
405 4D-µCT analysis through piecewise linear fitting
Accepted
Oral 20 Minutes
585 Quantum-computational approach to discrete tomography for porous media
Accepted
Oral 20 Minutes
586 Shape analysis for grains and pores on 3d digital images
Accepted
Oral 20 Minutes
781 Enhanced grain partitioning of microtomography segmented images
Accepted
Poster + 3 Minute Pitch
843 Digital Rocks Portal: Curation, Visualization and Analysis of Imaged Porous Materials
Accepted
Poster
897 A multiscale segmentation strategy for low-resolution, whole-core computerized tomography images of carbonates
Accepted
Oral 20 Minutes
986 Fast Evaluation of Rock Permeability from Images using Physics-Based Simulations and Machine Learning
Accepted
Oral 20 Minutes
1104 Automated high accuracy, rapid beam hardening correction in X-Ray Computed Tomography of multi-mineral, heterogeneous core samples
Accepted
Poster