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# scipy.ndimage.filters.gaussian_laplace

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

  Calculate a 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

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