Campus Units

Statistics

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

2020

Journal or Book Title

arXiv

Abstract

We introduce CatSIM, a new similarity metric for binary and multinary two- and three-dimensional images and volumes. CatSIM uses a structural similarity image quality paradigm and is robust to small perturbations in location so that structures in similar, but not entirely overlapping, regions of two images are rated higher than using simple matching. The metric can also compare arbitrary regions inside images. CatSIM is evaluated on artificial data sets, image quality assessment surveys and two imaging applications

Comments

This is a pre-print of the article Thompson, Geoffrey Z., and Ranjan Maitra. "CatSIM: A Categorical Image Similarity Metric." arXiv preprint arXiv:2004.09073 (2020). Posted with permission.

Copyright Owner

The Author(s)

Language

en

File Format

application/pdf

Published Version

Share

COinS