# Metrics¶

Extract Quantitative Information

This submodule contains functions for determining key metrics about an image. Typically these are applied to an image after applying a filter, but a few functions can be applied directly to the binary image.

 `metrics.boxcount`(im[, bins, d_min, d_max]) Calculates fractal dimension of an image using the tiled box counting method _ Find the length of each chord in the supplied image Determines the distribution of chord lengths in an image containing chords. `metrics.lineal_path_distribution`(im[, bins, …]) Determines the probability that a point lies within a certain distance of the opposite phase along a specified direction `metrics.mesh_surface_area`([mesh, verts, faces]) Calculate the surface area of a meshed region `metrics.mesh_volume`(region) Compute the volume of a single region by meshing it `metrics.pc_curve_from_ibip`(seq, sizes[, im, …]) Produces a Pc-Snwp curve from the output of `ibip` `metrics.pc_curve_from_mio`(sizes[, im, …]) Produces a Pc-Snwp curve from the output of `porosimetry` `metrics.phase_fraction`(im[, normed]) Calculate the fraction of each phase in an image `metrics.pore_size_distribution`(im[, bins, …]) Calculate a pore-size distribution based on the image produced by the `porosimetry` or `local_thickness` functions. Calculates the porosity of an image assuming 1’s are void space and 0’s are solid phase. `metrics.porosity_profile`(im[, axis]) Computes the porosity profile along the specified axis `metrics.prop_to_image`(regionprops, shape, prop) Create an image with each region colored according the specified `prop`, as obtained by `regionprops_3d`. `metrics.props_to_DataFrame`(regionprops) Create a `pandas` DataFrame containing all the scalar metrics for each region, such as volume, sphericity, and so on, calculated by `regionprops_3D`. Computes radial density function by analyzing the histogram of voxel values in the distance transform. `metrics.region_interface_areas`(regions, areas) Calculate the interfacial area between all pairs of adjecent regions `metrics.region_surface_areas`(regions[, …]) Extract the surface area of each region in a labeled image. Calculates various metrics for each labeled region in a 3D image. Calculates the porosity of an image as a function subdomain size. Calculate the two-point correlation function using Fourier transforms