mcc_scoring#
- mcc_scoring(template, template_mask, template_filter, ft_target, ft_target2, ft_target_mask, fast_shape, fast_ft_shape, rotations, callback, interpolation_order, overlap_ratio=0.3)[source]#
Computes a normalized cross-correlation score between
target(f),template(g),template_mask(m) andtarget_mask(t)\[\frac{ CC(f, g) - \frac{CC(f, m) \cdot CC(t, g)}{CC(t, m)} }{ \sqrt{ (CC(f ^ 2, m) - \frac{CC(f, m) ^ 2}{CC(t, m)}) \cdot (CC(t, g^2) - \frac{CC(t, g) ^ 2}{CC(t, m)}) } },\]where
\[CC(f,g) = \mathcal{F}^{-1}(\mathcal{F}(f) \cdot \mathcal{F}(g)^*).\]- Parameters:
- templateUnion[Tuple[type, tuple of ints, type], BackendArray]
Template data buffer, its shape and datatype.
- template_maskUnion[Tuple[type, tuple of ints, type], BackendArray]
Template mask data buffer, its shape and datatype.
- template_filterUnion[Tuple[type, tuple of ints, type], BackendArray]
Template filter data buffer, its shape and datatype.
- ft_targetUnion[Tuple[type, tuple of ints, type], BackendArray]
Fourier transformed target data buffer, its shape and datatype.
- ft_target2Union[Tuple[type, tuple of ints, type], BackendArray]
Fourier transformed squared target data buffer, its shape and datatype.
- ft_target_maskUnion[Tuple[type, tuple of ints, type], BackendArray]
Fourier transformed target mask data buffer, its shape and datatype.
- fast_shape: tuple of ints
Data shape for the forward Fourier transform.
- fast_ft_shape: tuple of ints
Data shape for the inverse Fourier transform.
- rotationsBackendArray
Rotation matrices to be sampled (n, d, d).
- callbackCallbackClass
A callable for processing the result of each rotation.
- interpolation_orderint
Spline order for template rotations.
- overlap_ratiofloat, optional
Required fractional mask overlap, 0.3 by default.
References
[1]Masked FFT registration, Dirk Padfield, CVPR 2010 conference