image_registration

Methods for image full and subpixel registration

The project contains 4 different automatic methods for finding the offset between 2 images.

Implemented methods:

• Lucas Kanade
• POC
• Mutual Information
• Correlation

The methods can be called in a single call or, with different resolution pyramid steps.

example:

    import cv2    
    from reg_lucas_kanade import LucasKanade

    im1 = cv2.imread("im1.jpg")
    im2 = cv2.imread("im2.jpg")
    registrator = LucasKanade()
    estx, esty = registrator.find_shift(im1, im2)    

detailed example in example.py

ManualReg

A utility written in openCV for manual registration. It allows to overlay the images one on top of the other and shift them in varity of step sizes showing the abs diif.

Help for ManualReg

• esc: exit
• arrow keys or 'w'/'d'/'x'/'a' move the image
• +/-: change step size by factor 2/0.5
• ?: print help
• b: blink between 2 images
• c: switch color and grayscale
• o: display the overlay of the 2 images in different colors

example:

    import cv2
    from manual_reg import ManualReg

    im1 = cv2.imread("im1.jpg")
    im2 = cv2.imread("im2.jpg")
    ManualReg(im1, im2)

detailed example in example.py

Requirements

• python 3
• openCV
• numpy
• scipy for mi_reg and poc_reg only

References

• Part of the code was adapted from: https://github.com/alex000kim/ImReg
• LK ( B. D. Lucas and T. Kanade (1981), An iterative image registration technique with an application to stereo vision. Proceedings of Imaging Understanding Workshop, pages 121--130)
• POC (Nagashima, Sei, et al. "A subpixel image matching technique using phase-only correlation." Intelligent Signal Processing and Communications, 2006. ISPACS'06. International Symposium on. IEEE, 2006.)
• Mutual Information. (Zhang, Boyang, et al. "A mutual information based sub-pixel registration method for image super resolution." Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP'09. Fifth International Conference on. IEEE, 2009.)