prtools.binary_erosion#
- binary_erosion(input, structure=None, iterations=1, mask=None, output=None, border_value=0)[source]#
Binary erosion using the given structure element.
- Parameters:
input (array_like) – Array to be eroded. Nonzero elements form the subset to be eroded.
structure (array_like, optional) – Structure element used for erosion. Nonzero elements are considered True. If None (default), a structure element with a square connectivity equal to one is used.
iterations (int, optional) – Number of times to repeat the erosion. Default is 1.
mask (array_like, optional) – Mask applied to the inputs where a True value indicates the corresponding input element should be included in the erosion.
output (ndarray, optional) –
Array location into which the result is stored. If None (default), a freshly-allocated array is returned.
Note
outputmust be None ifinputis a JAX array.border_value (int (cast to 0 or 1), optional) – Value at the border of the output array.
- Returns:
binary_erosion – Erosion of the input by the structure element.
- Return type:
ndarray of bools
See also
Notes
This function is designed to be compatible with JAX
jitandgradoperations.Examples
>>> a = np.zeros((7,7), dtype=int) >>> a[1:6, 2:5] = 1 >>> a array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0], [0, 0, 1, 1, 1, 0, 0], [0, 0, 0, 0, 0, 0, 0]]) >>> prtools.binary_erosion(a) array([[False, False, False, False, False, False, False], [False, False, False, False, False, False, False], [False, False, False, True, False, False, False], [False, False, False, True, False, False, False], [False, False, False, True, False, False, False], [False, False, False, False, False, False, False], [False, False, False, False, False, False, False]]) >>> prtools.binary_erosion(a).astype(int) array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 1, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]]) >>> # Erosion removes objects smaller than the structure >>> prtools.binary_erosion(a, structure=np.ones((5,5))).astype(int) array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]])