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.
Image array.
The neighborhood expressed as an array of 1's and 0's. If None, use cross-shaped structuring element (connectivity=1).
The array to store the result of the morphology. If None is passed, a new array will be allocated.
The result of the morphological opening.
Return greyscale morphological opening of an image.
>>> # Open up gap between two bright regions (but also shrink regions)See :
... 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)
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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