black_tophat(image, selem=None, out=None)
The black top hat of an image is defined as its morphological closing minus the original image. This operation returns the dark spots of the image that are smaller than the structuring element. Note that dark spots in the original image are bright spots after the black top hat.
Image array.
The neighborhood expressed as a 2-D 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 black top hat.
Return black top hat of an image.
>>> # Change dark peak to bright peak and subtract backgroundSee :
... import numpy as np
... from skimage.morphology import square
... dark_on_grey = np.array([[7, 6, 6, 6, 7],
... [6, 5, 4, 5, 6],
... [6, 4, 0, 4, 6],
... [6, 5, 4, 5, 6],
... [7, 6, 6, 6, 7]], dtype=np.uint8)
... black_tophat(dark_on_grey, square(3)) array([[0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 5, 1, 0], [0, 0, 1, 0, 0], [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.black_tophat
skimage.morphology.grey.white_tophat
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