visualization

Collection of functions for basic visualization of images

This module contains functions for quickly visualizing 3D images in 2D views.

visualization.bar(results[, h])	Convenience wrapper for matplotlib's bar.
visualization.imshow(*im[, ind, axis])	Convenience wrapper for matplotlib's imshow.
visualization.prep_for_imshow(im[, mask, ...])	Adjusts the range of greyscale values in an image to improve visualization by matplotlib.pyplot.imshow
visualization.satn_to_movie(im, satn[, ...])	Converts a saturation map into an animation that can be saved
visualization.satn_to_panels(satn, im[, ...])	Produces a set of images with each panel containing one saturation
visualization.sem(im[, axis])	Simulates an SEM image looking into the porous material.
visualization.set_mpl_style()	Prettifies matplotlib's output by adjusting fonts, markersize etc.
visualization.show_3D(im)	Rotates a 3D image and creates an angled view for rough 2D visualization.
visualization.show_mesh(mesh)	Visualizes the mesh of a region as obtained by get_mesh function in the metrics submodule.
visualization.show_planes(im[, spacing])	Create a quick montage showing a 3D image in all three directions
visualization.xray(im[, axis])	Simulates an X-ray radiograph looking through the porous material.