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
Copyright Owner
The Author(s)
Copyright Date
2020
Language
en
File Format
application/pdf
Recommended Citation
Thompson, Geoffrey Z. and Maitra, Ranjan, "CatSIM: A Categorical Image Similarity Metric" (2020). Statistics Publications. 301.
https://lib.dr.iastate.edu/stat_las_pubs/301
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.