scipy.ndimage.

morphological_laplace#

scipy.ndimage.morphological_laplace(input, size=None, footprint=None, structure=None, output=None, mode='reflect', cval=0.0, origin=0, *, axes=None)[source]#

Multidimensional morphological laplace.

Parameters:

inputarray_like: Input.
sizetuple of ints: Shape of a flat and full structuring element used for the mathematical morphology operations. Optional if footprint or structure is provided.
footprintarray of ints, optional: Positions of non-infinite elements of a flat structuring element used for the morphology operations.
structurearray of ints, optional: Structuring element used for the morphology operations. structure may be a non-flat structuring element. The structure array applies offsets to the pixels in a neighborhood (the offset is additive during dilation and subtractive during erosion)
outputndarray, optional: An output array can optionally be provided.
mode{‘reflect’,’constant’,’nearest’,’mirror’, ‘wrap’}, optional: The mode parameter determines how the array borders are handled. For ‘constant’ mode, values beyond borders are set to be cval. Default is ‘reflect’.
cvalscalar, optional: Value to fill past edges of input if mode is ‘constant’. Default is 0.0
originorigin, optional: The origin parameter controls the placement of the filter.
axestuple of int or None: The axes over which to apply the filter. If None, input is filtered along all axes. If an origin tuple is provided, its length must match the number of axes.

Returns:

morphological_laplacendarray: Output

Notes

Array API Standard Support

morphological_laplace has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable SCIPY_ARRAY_API=1 and providing CuPy, PyTorch, JAX, or Dask arrays as array arguments. The following combinations of backend and device (or other capability) are supported.

Library	CPU	GPU
NumPy	✅	n/a
CuPy	n/a	✅
PyTorch	✅	⛔
JAX	⚠️ no JIT	⛔
Dask	⚠️ computes graph	n/a

See Support for the array API standard for more information.