- Stoner.Image.imagefuncs.align(im, ref, method='scharr', **kargs)¶
Use one of a variety of algroithms to align two images.
- Keyword Arguments
_box (integer, float, tuple of images or floats) – Used with ImageArray.crop to select a subset of the image to use for the aligning process.
scale (int) – Rescale the image and reference image by constant factor before finding the translation vector.
prefilter (callable) – A method to apply to the image before carrying out the translation to the align to the reference.
**kargs (various) – All other keyword arguments are passed to the specific algorithm.
(ImageArray or ndarray) aligned image
- Currently three algorithms are supported:
image_registration module’s chi^2 shift: This uses a dft with an automatic up-sampling of the fourier transform for sub-pixel alignment. The metadata key chi2_shift contains the translation vector and errors.
imreg_dft module’s similarity function. This implements a full scale, rotation, translation algorithm (by default cosntrained for just translation). It’s unclear how much sub-pixel translation is accomodated.
cv2 module based affine transform on a gray scale image. from: http://www.learnopencv.com/image-alignment-ecc-in-opencv-c-python/