Abstract
Image registration is an important component of many image processing problems which often require optimizing over some set of parameters. In the image registration problem, one attempts to determine the best transformation for aligning similar images. Such problems typically require minimizing a dissimilarity measure with multiple local minima. We describe a global optimization algorithm and apply it to the problem of identifying the best transformation for aligning two images.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 431-445 |
| Number of pages | 15 |
| Journal | Journal of Global Optimization |
| Volume | 79 |
| Issue number | 2 |
| DOIs | |
| State | Published - Feb 2021 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Applied Mathematics
- Business, Management and Accounting (miscellaneous)
- Computer Science Applications
- Management Science and Operations Research
Keywords
- Convergence
- Global optimization
- Image registration