Computational methods for quantitative analysis of three-dimensional features in geological specimens

By Richard A. Ketcham. 2005

367 citations recorded by the source corpus.

Subfields: Astronomy and Astrophysics, Biomedical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/879304d6c6b507f42c00052beed195a98a51e019

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In Astronomy and Astrophysics

In Biomedical Engineering

In Mechanics of Materials

Citations in the corpus

Representative elementary volume estimation for porosity, moisture saturation, and air‐water interfacial areas in unsaturated porous media: Data quality implications (2011, methodology): “A median smoothing algorithm was used to reduce image noise (Blob3D Software) [Ketcham, 2005], and a multistep segmentation process was used to assign image voxels (three-dimensional pixels) to the solid, air, or water phases [Costanza-Robinson et al., 2008].”
Organization of the Olfactory and Respiratory Skeleton in the Nose of the Gray Short-Tailed Opossum Monodelphis domestica (2005, methodology): “Measurements of surface areas and partial volumes for the right nasal chamber and its skeleton were taken using Blob3D software (Ketcham, 2005).”
Imaging and image processing in porous media research (2008, methodology): “Vogel and Kretzschmar [53] used region growing for the segmentation of soil samples and region growing is also the concept used by Ketcham [54] in the BLOB3D analysis package.”
Using X-ray computed tomography in pore structure characterization for a Berea sandstone: Resolution effect (2012, background): “A minimum-error algorithm (Kittler and Illingworth, 1986), on the other hand, did not converge on these two sets of images.”
Image processing of multiphase images obtained via X‐ray microtomography: A review (2014, methodology): “A relief in this regard are software toolboxes which are freely available to the scientific community like IMAGEJ [Ferreira and Rasband, 2012], ITK [Ibanez et al., 2005], QUANTIM [Vogel et al., 2010], BLOB3D [Ketcham, 2005], or SCIKIT-IMAGE [van der Walt et al., 2014], just to name a few.”
Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures (2009, methodology): “A generic algorithm iteratively searches for all voxels neighboring an existing region of interest (ROI) and uses specific selection criteria (commonly the similarity of the neighboring voxels gray scale intensities to the mean intensity of the entire region) to add neighboring pixels to the ROI [Go”