Optimization of mutual information for multiresolution image registration

摘要: We propose a new method for the intermodal registration of images using criterion known as mutual information. Our main contribution is an optimizer that we specifically designed this criterion. show well adapted to multiresolution approach because it typically converges in fewer evaluations than other optimizers. have built image pyramid, along with interpolation process, optimizer, and itself, around unifying concept spline-processing. This ensures coherence way model data yields good performance. tested our variety experimental conditions report excellent results. claim accuracy about hundredth pixel under ideal conditions. are also robust since still tenth very noisy In addition, blind evaluation results compares favorably work several researchers.