Abstract
A new algorithm aimed at infrared and visible image registration based on cross-correlation coefficient and Canny edge region was presented: regarded the improved Cross-correlation coefficient as the similarity function, extracted the edge region and its nearby area, removed other regions with low correlation, used the particle swarm optimization(PSO) to seek. It shows that this algorithm can overcome the shortcomings which infrared and visible images are poor correlated and avoid the bad matching between multi-sensor images. Multi-sensor image registration could be achieved and small error is guaranteed.
| Original language | English |
|---|---|
| Pages (from-to) | 320-325 |
| Number of pages | 6 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 36 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Mar 2016 |
Keywords
- Cross-correlation coefficient
- Edge extraction
- Edge region
- Image registration
- Similarity function