CatSIM: A Categorical Image Similarity Metric
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Publication:132084
DOI10.48550/ARXIV.2004.09073arXiv2004.09073MaRDI QIDQ132084
Geoffrey Thompson, Ranjan Maitra
Publication date: 20 April 2020
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
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