CatSIM: A Categorical Image Similarity Metric

Date
2020-01-01
Authors
Thompson, Geoffrey
Maitra, Ranjan
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Statistics
Organizational Unit
Journal Issue
Series
Department
Statistics
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.

Description
Keywords
Citation
DOI
Source
Collections