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# scipy.ndimage.filters.correlate

`scipy.ndimage.filters.``correlate`(input, weights, output=None, mode='reflect', cval=0.0, origin=0)

  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.

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