normalize_template_match#
- pyxem.utils.diffraction.normalize_template_match(z, template, subtract_min=True, pad_input=True, **kwargs)[source]#
Matches a template with an image z. Preformed a normalized cross-correlation using the given templates. If subtract_min is True then the minimum value will be subtracted from the correlation.
- Parameters:
z (numpy.ndarray) – Two-dimensional data array containing signal.
template (numpy.ndarray) – Two-dimensional data array containing template.
subtract_min (bool) – If True the minimum value will be subtracted from the correlation.
pad_input (bool) – If True the input array will be padded. (This should be True otherwise the result will be shifted by half the template size)
**kwargs – Keyword arguments to be passed to
skimage.feature.match_template()