bundles / scipy 1.17.1 / scipy / ndimage / _morphology / morphological_laplace
function
scipy.ndimage._morphology:morphological_laplace
Signature
def morphological_laplace ( input , size = None , footprint = None , structure = None , output = None , mode = reflect , cval = 0.0 , origin = 0 , * , axes = None ) Summary
Multidimensional morphological laplace.
Parameters
input: array_likeInput.
size: tuple of intsShape of a flat and full structuring element used for the mathematical morphology operations. Optional if
footprintorstructureis provided.footprint: array of ints, optionalPositions of non-infinite elements of a flat structuring element used for the morphology operations.
structure: array of ints, optionalStructuring element used for the morphology operations.
structuremay be a non-flat structuring element. Thestructurearray applies offsets to the pixels in a neighborhood (the offset is additive during dilation and subtractive during erosion)output: ndarray, optionalAn output array can optionally be provided.
mode: {'reflect','constant','nearest','mirror', 'wrap'}, optionalThe mode parameter determines how the array borders are handled. For 'constant' mode, values beyond borders are set to be
cval. Default is 'reflect'.cval: scalar, optionalValue to fill past edges of input if mode is 'constant'. Default is 0.0
origin: origin, optionalThe origin parameter controls the placement of the filter.
axes: tuple of int or NoneThe axes over which to apply the filter. If None,
inputis filtered along all axes. If anorigintuple is provided, its length must match the number of axes.
Returns
morphological_laplace: ndarrayOutput
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
dev-arrayapifor more information.
Aliases
-
scipy.ndimage.morphological_laplace