Image similarity metrics in image registration

A. Melbourne; G. Ridgway; D. J. Hawkes

doi:10.1117/12.840389

12 March 2010 Image similarity metrics in image registration

A. Melbourne, G. Ridgway, D. J. Hawkes

Proceedings Volume 7623, Medical Imaging 2010: Image Processing; 762335 (2010) https://doi.org/10.1117/12.840389
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

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.

Citation Download Citation

A. Melbourne, G. Ridgway, and D. J. Hawkes "Image similarity metrics in image registration", Proc. SPIE 7623, Medical Imaging 2010: Image Processing, 762335 (12 March 2010); https://doi.org/10.1117/12.840389

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