gzt/catsim: Binary and Categorical Image Similarity Index

Computes a structural similarity metric (after the style of MS-SSIM for images) for binary and categorical 2D and 3D images. Can be based on accuracy (simple matching), Cohen's kappa, Rand index, adjusted Rand index, Jaccard index, Dice index, normalized mutual information, or adjusted mutual information. In addition, has fast computation of Cohen's kappa, the Rand indices, and the two mutual informations. Implements the methods of Thompson and Maitra (2020) <arXiv:2004.09073>.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.2.3
URL https://github.com/gzt/catsim https://gzt.github.io/catsim/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("gzt/catsim")
gzt/catsim documentation built on Dec. 10, 2020, 3:25 p.m.