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Module « scipy.ndimage »

Fonction find_objects - module scipy.ndimage

Signature de la fonction find_objects

def find_objects(input, max_label=0) 

Description

help(scipy.ndimage.find_objects)

Find objects in a labeled array.

Parameters
----------
input : ndarray of ints
    Array containing objects defined by different labels. Labels with
    value 0 are ignored.
max_label : int, optional
    Maximum label to be searched for in `input`. If max_label is not
    given, the positions of all objects are returned.

Returns
-------
object_slices : list of tuples
    A list of tuples, with each tuple containing N slices (with N the
    dimension of the input array). Slices correspond to the minimal
    parallelepiped that contains the object. If a number is missing,
    None is returned instead of a slice. The label ``l`` corresponds to
    the index ``l-1`` in the returned list.

See Also
--------
label, center_of_mass

Notes
-----
This function is very useful for isolating a volume of interest inside
a 3-D array, that cannot be "seen through".

Examples
--------
>>> from scipy import ndimage
>>> import numpy as np
>>> a = np.zeros((6,6), dtype=int)
>>> a[2:4, 2:4] = 1
>>> a[4, 4] = 1
>>> a[:2, :3] = 2
>>> a[0, 5] = 3
>>> a
array([[2, 2, 2, 0, 0, 3],
       [2, 2, 2, 0, 0, 0],
       [0, 0, 1, 1, 0, 0],
       [0, 0, 1, 1, 0, 0],
       [0, 0, 0, 0, 1, 0],
       [0, 0, 0, 0, 0, 0]])
>>> ndimage.find_objects(a)
[(slice(2, 5, None), slice(2, 5, None)),
 (slice(0, 2, None), slice(0, 3, None)),
 (slice(0, 1, None), slice(5, 6, None))]
>>> ndimage.find_objects(a, max_label=2)
[(slice(2, 5, None), slice(2, 5, None)), (slice(0, 2, None), slice(0, 3, None))]
>>> ndimage.find_objects(a == 1, max_label=2)
[(slice(2, 5, None), slice(2, 5, None)), None]

>>> loc = ndimage.find_objects(a)[0]
>>> a[loc]
array([[1, 1, 0],
       [1, 1, 0],
       [0, 0, 1]])

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