closing

closing

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

Return greyscale morphological closing of an image.

The morphological closing on an image is defined as a dilation followed by an erosion. Closing can remove small dark spots (i.e. “pepper”) and connect small bright cracks. This tends to “close” 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:	closing : array, same shape and type as image The result of the morphological closing.

Examples

1 2 3 4 5 6 7 8 9 10 11 12 13 14

>>> # Close a gap between two bright lines >>> import numpy as np >>> from skimage.morphology import square >>> broken_line = np.array([[0, 0, 0, 0, 0], ...                         [0, 0, 0, 0, 0], ...                         [1, 1, 0, 1, 1], ...                         [0, 0, 0, 0, 0], ...                         [0, 0, 0, 0, 0]], dtype=np.uint8) >>> closing(broken_line, square(3)) array([[0, 0, 0, 0, 0],        [0, 0, 0, 0, 0],        [1, 1, 1, 1, 1],        [0, 0, 0, 0, 0],        [0, 0, 0, 0, 0]], dtype=uint8)