Elements of information theory
Elements of information theory
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Alignment by maximization of mutual information
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Evolutionary Computation
Global motion estimation: feature-based, featureless, or both ?!
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Numerical optimization using organizational particle swarm algorithm
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Registration of 3d range images using particle swarm optimization
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
An approach to multimodal biomedical image registration utilizing particle swarm optimization
IEEE Transactions on Evolutionary Computation
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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The goal of image registration is to align two or more images of the same scene. To fully automate the registration process by optimization of the mutual information criterion, a robust global optimizer is indispensable. This paper focuses mainly on application and evaluation of particle swarm optimization for the rigid transformation registration of multimodality images. Four different modes of particle swarm optimization are proposed to globally optimize the challenging intensity based image registration. The functional manifest of different modes is comparatively evaluated by rigid experiments. The results show that the particle swarm optimization algorithm is to be promising for optimal multimodality image registration. With consideration of the trade-off between the successful rate and the computation time, the proposed PSO Mode II gives relatively best performance during the experimental studies of multimodality image registration.