Multimodality Image Registration by Particle Swarm Optimization of Mutual Information

摘要: The goal of image registration is to align two or more images the same scene. To fully automate process by optimization mutual information criterion, a robust global optimizer indispensable. This paper focuses mainly on application and evaluation particle swarm for rigid transformation multimodality images. Four different modes are proposed globally optimize challenging intensity based registration. functional manifest comparatively evaluated experiments. results show that algorithm be promising optimal With consideration trade-off between successful rate computation time, PSO Mode II gives relatively best performance during experimental studies