A course in density estimation
A course in density estimation
Elements of information theory
Elements of information theory
Evaluation of Ridge Seeking Operators for Multimodality Medical Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Using MPI (2nd ed.): portable parallel programming with the message-passing interface
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Image Registration by Maximization of Combined Mututal Information and Gradient Information
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
A data distributed parallel algorithm for nonrigid image registration
Parallel Computing
From error probability to information theoretic (multi-modal) signal processing
Signal Processing - Special issue: Information theoretic signal processing
Elastic image registration using attractive and repulsive particle swarm optimization
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Multi-modality image registration using gradient vector flow intensity
Miar'06 Proceedings of the Third international conference on Medical Imaging and Augmented Reality
Distance-Intensity for image registration
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Alignment of velocity fields for video surveillance
Pattern Recognition Letters
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This paper introduces two important issues of image registration. At first we want to recall the very general definition of mutual information that allows the choice of various feature spaces to perform image registration. Second we discuss the problem of finding the global maximum in an arbitrary feature space. We used a very general parallel, distributed memory, genetic optimization which turned out to be very robust. We restrict the examples to the context of multi-modal medical image registration but we want to point out that the approach is very general and therefore applicable to a wide range of other applications. The registration algorithm was analysed on a LINUX cluster.