skimage 0.17.2

ParametersReturnsBackRef
opening(image, selem=None, out=None)

The morphological opening on an image is defined as an erosion followed by a dilation. Opening can remove small bright spots (i.e. "salt") and connect small dark cracks. This tends to "open" up (dark) gaps between (bright) features.

Parameters

image : ndarray

Image array.

selem : ndarray, optional

The neighborhood expressed as an array of 1's and 0's. If None, use cross-shaped structuring element (connectivity=1).

out : ndarray, optional

The array to store the result of the morphology. If None is passed, a new array will be allocated.

Returns

opening : array, same shape and type as `image`

The result of the morphological opening.

Return greyscale morphological opening of an image.

Examples

This example is valid syntax, but we were not able to check execution
>>> # Open up gap between two bright regions (but also shrink regions)
... import numpy as np
... from skimage.morphology import square
... bad_connection = np.array([[1, 0, 0, 0, 1],
...  [1, 1, 0, 1, 1],
...  [1, 1, 1, 1, 1],
...  [1, 1, 0, 1, 1],
...  [1, 0, 0, 0, 1]], dtype=np.uint8)
... opening(bad_connection, square(3)) array([[0, 0, 0, 0, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 1], [1, 1, 0, 1, 1], [0, 0, 0, 0, 0]], dtype=uint8)
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.morphology.grey.opening skimage.morphology.grey.pad_for_eccentric_selems

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File: /skimage/morphology/grey.py#255
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