#### Previous topic

scipy.ndimage.filters.gaussian_gradient_magnitude

#### Next topic

scipy.ndimage.filters.generic_filter

# scipy.ndimage.filters.gaussian_laplace

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

  Multidimensional Laplace filter using gaussian second derivatives.

  Parameters: | 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().