scipy.ndimage.generic_laplace¶
- scipy.ndimage.generic_laplace(input, derivative2, output=None, mode='reflect', cval=0.0, extra_arguments=(), extra_keywords=None)[source]¶
N-dimensional Laplace filter using a provided second derivative function
Parameters: input : array_like
Input array to filter.
derivative2 : callable
Callable with the following signature:
derivative2(input, axis, output, mode, cval, *extra_arguments, **extra_keywords)
See extra_arguments, extra_keywords below.
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_keywords : dict, optional
dict of extra keyword arguments to pass to passed function
extra_arguments : sequence, optional
Sequence of extra positional arguments to pass to passed function