CatSIM: A Categorical Image Similarity Metric Thompson, Geoffrey Maitra, Ranjan
dc.contributor.department Statistics 2020-06-23T03:00:08.000 2020-07-02T06:57:45Z 2020-07-02T06:57:45Z Wed Jan 01 00:00:00 UTC 2020 2020-01-01
dc.description.abstract <p>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</p>
dc.description.comments <p>This is a pre-print of the article Thompson, Geoffrey Z., and Ranjan Maitra. "CatSIM: A Categorical Image Similarity Metric." <em>arXiv preprint arXiv:2004.09073</em> (2020). Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/
dc.identifier.articleid 1305
dc.identifier.contextkey 18210492
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_pubs/301
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:28:13 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords image analysis
dc.subject.keywords image segmentation
dc.subject.keywords image similarity
dc.subject.keywords distortion measurement
dc.subject.keywords structural similarity
dc.subject.keywords SSIM
dc.subject.keywords Jaccard
dc.title CatSIM: A Categorical Image Similarity Metric
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
Original bundle
Now showing 1 - 1 of 1
3.27 MB
Adobe Portable Document Format