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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ma, B. Hero, A. Gorman, J. Michel, O. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA (Ma, B.) |
| Abstract | Registration is a fundamental task in image processing and quite a few registration techniques have been developed in various fields. In this paper we propose a novel graph-representation method for image registration with Renyi entropy as the dissimilarity metric between the images. The image matching is performed by minimizing the length of the minimum spanning tree (MST) which spans the graph generated from the overlapped images. Our method also takes advantage of the minimum k-point spanning tree (k-MST) approach to robustify the registration against spurious discrepancies in the images. The proposed algorithm is tested in two applications: registering magnetic resonance (MR) images, and registering an electro-optical image with a terrain height map. In both cases the algorithm is shown to be accurate and robust. |
| Starting Page | 481 |
| Ending Page | 484 |
| File Size | 357452 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362977 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2000.901000 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image registration Tree graphs Entropy Robustness Joints Probability distribution Image processing Testing Magnetic resonance Rain |
| Content Type | Text |
| Resource Type | Article |
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