Efficient subpixel image registration algorithms 论文
2008Optics Letters引用 1963
Scientific Research and DiscoveriesComputational Physics and Python ApplicationsParticle Detector Development and Performance
详细信息
- 发表期刊/会议
- Optics Letters
- 发表日期
- 2008-01-10
- 发表年份
- 2008
关键词
Scientific Research and DiscoveriesComputational Physics and Python ApplicationsParticle Detector Development and Performance
摘要
Three new algorithms for 2D translation image registration to within a small fraction of a pixel that use nonlinear optimization and matrix-multiply discrete Fourier transforms are compared. These algorithms can achieve registration with an accuracy equivalent to that of the conventional fast Fourier transform upsampling approach in a small fraction of the computation time and with greatly reduced memory requirements. Their accuracy and computation time are compared for the purpose of evaluating a translation-invariant error metric.