A novel similarity measure to evaluate image correspondence

Marti, R., Zwiggelaar, R. and Rubin, C. M. E. (2000) A novel similarity measure to evaluate image correspondence. In: 15th International Conference on Pattern Recognition, 2000-09-03 - 2000-09-07.

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Abstract

We have developed a novel similarity measure to evaluate image correspondence. Our method is based on the mutual information between images. The main difference to other mutual information approaches is that we incorporate spatial information using grey-level co-occurrence matrices, leading to a more general measurement. We have used this technique to evaluate two registration algorithms (local affine transformation and thin plate splines) applied to a dataset of mammographic images

Item Type:	Conference or Workshop Item (Paper)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Depositing User:	Vishal Gautam
Date Deposited:	21 Jun 2011 18:41
Last Modified:	15 Dec 2022 01:07
URI:	https://ueaeprints.uea.ac.uk/id/eprint/21792
DOI:	10.1109/ICPR.2000.903511

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