Name
Abstract | ||
|---|---|---|
We propose a new method for the intermodal registration of images using a criterion known as mutual information. Our main contribution is an optimizer that we specifically designed for this criterion. We show that this new optimizer is well adapted to a multiresolution approach because it typically converges in fewer criterion evaluations than other optimizers. We have built a multiresolution image pyramid, along with an interpolation process, an optimizer, and the criterion itself, around the unifying concept of spline-processing. This ensures coherence in the way we model data and yields good performance. We have tested our approach in a variety of experimental conditions and report excellent results. We claim an accuracy of about a hundredth of a pixel under ideal conditions. We are also robust since the accuracy is still about a tenth of a pixel under very noisy conditions. In addition, a blind evaluation of our results compares very favorably to the work of several other researchers. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/83.887976 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
multiresolution approach,intermodal volume alignment,blind evaluation,pyramid.,excellent result,parzen window,index terms—b-spline,fewer criterion evaluation,intermodal registration,multiresolution image pyramid,multiresolution image registration,new optimizer,mar- quardt-levenberg,mutual information,ideal condition,new method,experimental condition,interpolation,accuracy,testing,image resolution,design optimization,optimization,coherence,indexing terms,spline,robustness,image registration,information theory,performance | Information theory,Computer vision,Pattern recognition,Interpolation,Pyramid (image processing),Multiresolution analysis,Artificial intelligence,Mutual information,Pixel,Image resolution,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
9 | 12 | 1057-7149 |
Citations | PageRank | References |
280 | 22.17 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thevenaz, P. | 1 | 702 | 80.79 |
| Unser, M. | 2 | 3438 | 442.40 |