Laser & Optoelectronics Progress, Volume. 56, Issue 8, 083001(2019)
Fast and High Precision Image Registration Algorithm Based on Fourier-Mellin Transform
Fig. 1. Structural schematic of the wide field-of-view polarization interference imaging spectrometer
Fig. 2. Schematic of extracting the interference intensity information of the same object point
Fig. 3. Principle diagram of partial upsampling phase correlation method
Fig. 4. Test images. (a) Referenced image; (b) registered image with translation
Fig. 5. Cross-correlation spectrograms. (a) With gradient pretreatment; (b) without gradient pretreatment
Fig. 6. Flow chart of image registration method
Fig. 7. Registration results. (a) Deviation of scale ratio; (b) deviation of rotation angle; (c) deviation of translation in X-axis direction; (d) deviation of translation in Y-axis direction
Fig. 8. Original images and registered images. (a)-(c) Original images; (d)-(f) registered images
Fig. 9. Recovered spectral results. (a) Image in 462 nm; (b) image in 485 nm; (c) image in 531 nm; (d) image in 633 nm; (e) image in 720 nm; (f) RGB color fusion image
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Heng Yuan, Caixun Bai, Yixuan Xu, Jie Liu, Jianxin Li. Fast and High Precision Image Registration Algorithm Based on Fourier-Mellin Transform[J]. Laser & Optoelectronics Progress, 2019, 56(8): 083001
Category: Spectroscopy
Received: Oct. 31, 2018
Accepted: Nov. 22, 2018
Published Online: Jul. 26, 2019
The Author Email: Li Jianxin (ljx@vip.163.com)