match_fits¶
- image_registration.FITS_tools.match_images.match_fits(fitsfile1, fitsfile2, header=None, sigma_cut=False, use_mad_std=True, return_header=False, **kwargs)[source]¶
Project one FITS file into another’s coordinates If sigma_cut is used, will try to find only regions that are significant in both images using the standard deviation
- Parameters:
- fitsfile1: str
Reference fits file name
- fitsfile2: str
Offset fits file name
- header: pyfits.Header
Optional - can pass a header to projet both images to
- sigma_cut: bool or int
Perform a sigma-cut on the returned images at this level
- use_mad_stdbool
Use mad_std instead of std dev for stddev estimation
- Returns:
- image1,image2,[header]Two images projected into the same space, and
- optionally the header used to project them