networks

Collection of functions for obtaining network representations of images

Contains functions for analysing images as pore networks.

networks.add_boundary_regions(regions[, ...])	Add boundary regions on specified faces of an image
networks.diffusive_size_factor_AI(regions, ...)
networks.generate_voxel_image(network[, ...])	Generate a voxel image from an OpenPNM network object
networks.label_boundaries(network[, labels, tol])	Create boundary pore labels based on proximity to axis extrema
networks.label_phases(network[, alias])	Create pore and throat labels based on 'pore.phase' values
networks.map_to_regions(regions, values)	Maps pore values from a network onto the image from which it was extracted
networks.maximal_ball_wrapper(im, prefix, ...)	Implementing a maximal ball algorithm on an image
networks.regions_to_network(regions[, ...])	Analyzes an image that has been partitioned into pore regions and extracts the pore and throat geometry as well as network connectivity.
networks.snow2(phases[, phase_alias, ...])	Applies the SNOW algorithm to each phase indicated in phases.