skimage2.metrics

Warning

This module is part of the experimental skimage2 namespace and is subject to change without notice. Do not use it in production code. See the migration guide for more details.

Metrics corresponding to images, e.g., distance metrics, similarity, etc.

adapted_rand_error	Compute Adapted Rand error as defined by the SNEMI3D contest.
contingency_table	Return the contingency table for all regions in matched segmentations.
hausdorff_distance	Calculate the Hausdorff distance between nonzero elements of given images.
hausdorff_pair	Returns pair of points that are Hausdorff distance apart between nonzero elements of given images.
mean_squared_error	Compute the mean-squared error between two images.
normalized_mutual_information	Compute the normalized mutual information (NMI).
normalized_root_mse	Compute the normalized root mean-squared error (NRMSE) between two images.
peak_signal_noise_ratio	Compute the peak signal to noise ratio (PSNR) for an image.
structural_similarity	Compute the mean structural similarity index between two images.
variation_of_information	Return symmetric conditional entropies associated with the VI.