scipy.ndimage.filters.gaussian_laplace(input, sigma, output=None, mode='reflect', cval=0.0, **kwargs)[source]

Multidimensional Laplace filter using gaussian second derivatives.


input : array_like

Input array to filter.

sigma : scalar or sequence of scalars

The standard deviations of the Gaussian filter are given for each axis as a sequence, or as a single number, in which case it is equal for all axes.

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

Extra keyword arguments will be passed to gaussian_filter().