opening

opening

skimage.morphology.opening(image, selem=None, *args, **kwargs) [source]

Return greyscale morphological opening of an image.

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.

Examples

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>>> # 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)