scipy.ndimage.filters.correlate¶
- scipy.ndimage.filters.correlate(input, weights, output=None, mode='reflect', cval=0.0, origin=0)[source]¶
Multi-dimensional correlation.
The array is correlated with the given kernel.
Parameters: input : array-like
input array to filter
weights : ndarray
array of weights, same number of dimensions as input
output : array, optional
The output parameter passes an array in which to store the filter output.
mode : {‘reflect’,’constant’,’nearest’,’mirror’, ‘wrap’}, optional
The mode parameter determines how the array borders are handled, where cval is the value when mode is equal to ‘constant’. Default is ‘reflect’
cval : scalar, optional
Value to fill past edges of input if mode is ‘constant’. Default is 0.0
origin : scalar, optional
The origin parameter controls the placement of the filter. Default 0
See also
- convolve
- Convolve an image with a kernel.