Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Geoffrey Thompson [aut, cre] (<https://orcid.org/0000-0003-2436-8822>) |
| Maintainer | Geoffrey Thompson <gzthompson@gmail.com> |
| License | GPL-3 |
| Version | 0.2.3 |
| URL | https://github.com/gzt/catsim https://gzt.github.io/catsim/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the catsim package in your browser
Any scripts or data that you put into this service are public.
