Convergence Properties of the Nelder--Mead Simplex Method in Low Dimensions
SIAM Journal on Optimization
Scale-Space: Its Natural Operators and Differential Invariants
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Image template matching using Mutual Information and NP-Windows
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
A neighborhood incorporated method in image registration
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
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In this paper we present a novel method for performing image registration of different modalities. Mutual Information (MI) is an established method for performing such registration. However, it is recognised that standard MI is not without some problems, in particular it does not utilise spatial information within the images. Various modifications have been proposed to resolve this, however these only offer slight improvement to the accuracy of registration. We present Feature Neighbourhood Mutual Information (FNMI) that combines both image structure and spatial neighbourhood information which is efficiently incorporated into Mutual Information by approximating the joint distribution with a covariance matrix (c.f. Russakoff's Regional Mutual Information). Results show that our approach offers a very high level of accuracy that improves greatly on previous methods. In comparison to Regional MI, our method also improves runtime for more demanding registration problems where a higher neighbourhood radius is required. We demonstrate our method using retinal fundus photographs and scanning laser ophthalmoscopy images, two modalities that have received little attention in registration literature. Registration of these images would improve accuracy when performing demarcation of the optic nerve head for detecting such diseases as glaucoma.