remove_small_objects
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skimage.morphology.remove_small_objects(ar, min_size=64, connectivity=1, in_place=False)
[source] -
Remove connected components smaller than the specified size.
Parameters: ar : ndarray (arbitrary shape, int or bool type)
The array containing the connected components of interest. If the array type is int, it is assumed that it contains already-labeled objects. The ints must be non-negative.
min_size : int, optional (default: 64)
The smallest allowable connected component size.
connectivity : int, {1, 2, ..., ar.ndim}, optional (default: 1)
The connectivity defining the neighborhood of a pixel.
in_place : bool, optional (default: False)
If
True
, remove the connected components in the input array itself. Otherwise, make a copy.Returns: out : ndarray, same shape and type as input
ar
The input array with small connected components removed.
Raises: TypeError
If the input array is of an invalid type, such as float or string.
ValueError
If the input array contains negative values.
Examples
>>> from skimage import morphology >>> a = np.array([[0, 0, 0, 1, 0], ... [1, 1, 1, 0, 0], ... [1, 1, 1, 0, 1]], bool) >>> b = morphology.remove_small_objects(a, 6) >>> b array([[False, False, False, False, False], [ True, True, True, False, False], [ True, True, True, False, False]], dtype=bool) >>> c = morphology.remove_small_objects(a, 7, connectivity=2) >>> c array([[False, False, False, True, False], [ True, True, True, False, False], [ True, True, True, False, False]], dtype=bool) >>> d = morphology.remove_small_objects(a, 6, in_place=True) >>> d is a True
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