`skimage.filters.rank.generic:minimum`

source: /dev/scikit-image/src/skimage/filters/rank/generic.py :984

Signature

   def     minimum (    image    ,    footprint    ,    out    =  None   ,    mask    =  None   ,    shift_x    =  0   ,    shift_y    =  0   ,    shift_z    =  0     )

Summary

Return local minimum of an image.

Parameters

image : ndarray of shape ([P,] M, N) and dtype (uint8 or uint16): Input image.
footprint : ndarray: The neighborhood expressed as an ndarray of 1's and 0's.
out : ndarray of shape ([P,] M, N), same dtype as input `image`: If None, a new array is allocated.
mask : ndarray of dtype (int or float), optional: Mask array that defines (>0) area of the image included in the local neighborhood. If None, the complete image is used (default).
shift_x, shift_y, shift_z : int: Offset added to the footprint center point. Shift is bounded to the footprint sizes (center must be inside the given footprint).

Returns

out : ndarray of shape ([P,] M, N), same dtype as input `image`: Output image.

Notes

The lower algorithm complexity makes skimage.filters.rank.minimum more efficient for larger images and footprints.

Examples

from skimage import data
from skimage.morphology import disk, ball
from skimage.filters.rank import minimum
import numpy as np
img = data.camera()
rng = np.random.default_rng()
volume = rng.integers(0, 255, size=(10,10,10), dtype=np.uint8)
out = minimum(img, disk(5))
out_vol = minimum(volume, ball(5))

`skimage.filters.rank.generic:minimum`

Signature

Summary

Parameters

Returns

Notes

Examples

See also

Aliases

Referenced by

This package