Multimodality Image Registration Utilizing Ant Colony Algorithm

Image registration is the determination of a geometrical transformation that aligns points in one image of an object with corresponding points in another image. To find the best transformation function we should optimize the similarity measure. The optimization methods are generally divided into two general classes of global and local methods. The problem with local methods is that they trap in local optima. So, in this paper, we use ant colony algorithm as a global optimization method which is based on real ant behavior. The results of our experiments show the effectiveness and better accuracy for this method rather than local methods.