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Image Similarity Metrics in Image Registration

Melbourne, A; Ridgway, G; Hawkes, DJ; (2010) Image Similarity Metrics in Image Registration. In: Dawant, BM and Haynor, DR, (eds.) Proceedings of SPIE. (pp. 762335/1-762335/10). SPIE - The International Society for Optical Engineering: Bellingham, US. Green open access

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Abstract

Measures of image similarity that inspect the intensity probability distribution of the images have proved extremely popular in image registration applications. The joint entropy of the intensity distributions and the marginal entropies of the individual images are combined to produce properties such as resistance to loss of information in one image and invariance to changes in image overlap during registration. However information theoretic cost functions are largely used empirically. This work attempts to describe image similarity measures within a formal mathematical metric framework. Redefining mutual information as a metric is shown to lead naturally to the standardised variant, normalised mutual information.

Type: Proceedings paper
Title: Image Similarity Metrics in Image Registration
Location: San Diego, CA
Dates: 2010-02-14 - 2010-02-16
ISBN-13: 978-0-8194-8024-8
Open access status: An open access version is available from UCL Discovery
DOI: 10.1117/12.840389
Publisher version: http://dx.doi.org/10.1117/12.840389
Language: English
Additional information: Copyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. The conference Medical Imaging 2010 took place in San Diego, California US 14-16 February 2010.
Keywords: MUTUAL-INFORMATION
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/91782
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