GitHub repository: nattsr/SRBDRP_GrainSizeDistribution
Primary language: Matlab
Created: 2018-07-25T18:58:50Z
Description: Codes to measure the grain size distribution from thin sections or µXCT images. The distribution can be calculated based on the sieve method (volume-based), the laser diffraction (frequency-based) method, or the point-count method. The code outputs are (1) grain centroid - a matrix of Cartesian coordinates for each grain, (2) grain radius – a matrix of the radii measured from the grain centroid for each grain, (3) grain azimuth, - a matrix of the azimuth of all principal axes, (4) grain inclination – a matrix of the inclination of all principal axes, (5) grain volume – a vector of the volume in voxels for each grain, and (6) the number of contacts - a vector of the number of adjacent grains in contact.