porespy.networks

Contains functions for analysing images as pore networks.

Functions

add_boundary_regions(regions[, pad_width])	Add boundary regions on specified faces of an image
create_model()	Builds a ResNet50 model for predicting diffusive size factors.
diffusive_size_factor_AI(regions, throat_conns, model, ...)
diffusive_size_factor_DNS(regions, throat_conns[, ...])	Calculates the diffusive size factor of pore to pore regions in
find_conns(im)
find_junctions(sk)	Finds all junctions and endpoints in a skeleton.
find_throat_junctions(im, sk, juncs, throats[, dt, ...])	Finds local peaks on the throat segments of a skeleton large enough to be
generate_voxel_image(network[, pore_shape, ...])	Generate a voxel image from an OpenPNM network object
get_throat_area(im, sk, throats[, voxel_size, ...])	This function returns the cross-sectional acrea of throats.
juncs_to_pore_centers(juncs, dt)	Finds pore centers from an image of junctions. To do this, clusters of
junctions_to_network(sk, juncs, throats, dt, throat_area)	Assemble a dictionary object containing essential topological and
label_boundaries(network[, labels, tol])	Create boundary pore labels based on proximity to axis extrema
label_phases(network[, alias])	Create pore and throat labels based on 'pore.phase' values
magnet(im[, sk, parallel_kw, surface, voxel_size, s, ...])	Perform a Medial Axis Guided Network ExtracTion (MAGNET) on an image of
map_to_regions(regions, values)	Maps pore values from a network onto the image from which it was extracted
merge_nearby_juncs(sk, juncs[, dt])	Merges nearby junctions found in the skeleton
partition_skeleton(sk, juncs, dt)	Divides skeleton into pore and throat voxels given junctions
regions_to_network(regions[, phases, voxel_size, ...])	Analyzes an image that has been partitioned into pore regions and extracts
regions_to_network_parallel(regions[, phases, ...])	Analyzes an image that has been partitioned into pore regions and extracts
skeleton(im[, surface, parallel_kw])	Takes the skeleton of an image. This function ensures that no shells are
skeleton_parallel(im[, parallel_kw])	Performs skimage.morphology.skeleton_3d in parallel using dask
snow2(phases[, phase_alias, boundary_width, accuracy, ...])	Applies the SNOW algorithm to each phase indicated in phases.