Utilising convolutional neural networks to perform fast automated modal mineralogy analysis for thin-section optical microscopy
Thin section microscopy has been historically used for modal mineralogy in exploration and
for monitoring plant performance. Despite this, the technique relies on visual detection from …
for monitoring plant performance. Despite this, the technique relies on visual detection from …
Machine learning for point counting and segmentation of arenite in thin section
Thin sections provide geoscientists with a wealth of information about composition and
diagenetic history of sedimentary rocks. From a practical perspective, the quantity of detrital …
diagenetic history of sedimentary rocks. From a practical perspective, the quantity of detrital …
[BOOK][B] Image Segmentation: Principles, Techniques, and Applications
Image Segmentation Summarizes and improves new theory, methods, and applications of
current image segmentation approaches, written by leaders in the field The process of …
current image segmentation approaches, written by leaders in the field The process of …
Research on image identification method of rock thin slices in tight oil reservoirs based on Mask R-CNN
T Liu, C Li, Z Liu, K Zhang, F Liu, D Li, Y Zhang, Z Liu… - Energies, 2022 - mdpi.com
Terrestrial tight oil has extremely strong diagenesis heterogeneity, so a large number of rock
thin slices are needed to reveal the real microscopic pore-throat structure characteristics. In …
thin slices are needed to reveal the real microscopic pore-throat structure characteristics. In …
Advanced petrographic thin section segmentation through deep learning-integrated adaptive GLFIF
Y Han, Y Liu - Computers & Geosciences, 2024 - Elsevier
In geological research, precise segmentation of sandstone thin sections is crucial for
detailed subsurface material analysis. Traditional methods often fall short in accurately …
detailed subsurface material analysis. Traditional methods often fall short in accurately …
Microstructure segmentation using multi-angle polarized light microscopy
Grain size and shape are important microstructure attributes affected by material processing
and contributing to material properties. We develop automated tools to segment multi-angle …
and contributing to material properties. We develop automated tools to segment multi-angle …
Altered mineral segmentation in thin sections using an incremental-dynamic clustering algorithm
Intelligent mineral segmentation in thin section images of rocks still remains a challenging
task in modern computational mineralogy. The objective of the paper is segmenting minerals …
task in modern computational mineralogy. The objective of the paper is segmenting minerals …
Deep neural networks for automatic grain-matrix segmentation in plane and cross-polarized sandstone photomicrographs
Grain segmentation of sandstone that is partitioning the grain from its surrounding
matrix/cement in the thin section is the primary step for computer-aided mineral identification …
matrix/cement in the thin section is the primary step for computer-aided mineral identification …
The task of instance segmentation of mineral grains in digital images of rock samples (thin sections)
The paper considers develo** the method for instance segmentation of mineral grains in
thin section images of sandstone. This task involves the segmentation of quasi-convex …
thin section images of sandstone. This task involves the segmentation of quasi-convex …
The edge segmentation of grains in thin-section petrographic images utilising extinction consistency perception network
The first step in petrographic image analysis is to segment the mineral grains in the thin
section petrographic image, allowing the petrographer to identify the rock based on the grain …
section petrographic image, allowing the petrographer to identify the rock based on the grain …