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Module « scipy.ndimage »

Fonction extrema - module scipy.ndimage

Signature de la fonction extrema

def extrema(input, labels=None, index=None) 

Description

help(scipy.ndimage.extrema)

Calculate the minimums and maximums of the values of an array
at labels, along with their positions.

Parameters
----------
input : ndarray
    N-D image data to process.
labels : ndarray, optional
    Labels of features in input.
    If not None, must be same shape as `input`.
index : int or sequence of ints, optional
    Labels to include in output.  If None (default), all values where
    non-zero `labels` are used.

Returns
-------
minimums, maximums : int or ndarray
    Values of minimums and maximums in each feature.
min_positions, max_positions : tuple or list of tuples
    Each tuple gives the N-D coordinates of the corresponding minimum
    or maximum.

See Also
--------
maximum, minimum, maximum_position, minimum_position, center_of_mass

Examples
--------
>>> import numpy as np
>>> a = np.array([[1, 2, 0, 0],
...               [5, 3, 0, 4],
...               [0, 0, 0, 7],
...               [9, 3, 0, 0]])
>>> from scipy import ndimage
>>> ndimage.extrema(a)
(0, 9, (0, 2), (3, 0))

Features to process can be specified using `labels` and `index`:

>>> lbl, nlbl = ndimage.label(a)
>>> ndimage.extrema(a, lbl, index=np.arange(1, nlbl+1))
(array([1, 4, 3]),
 array([5, 7, 9]),
 [(0, 0), (1, 3), (3, 1)],
 [(1, 0), (2, 3), (3, 0)])

If no index is given, non-zero `labels` are processed:

>>> ndimage.extrema(a, lbl)
(1, 9, (0, 0), (3, 0))

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