`skimage.filters.rank.generic:modal`

source: /_skimage2/filters/rank/generic.py:1055

Signature

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

Summary

Return local mode of an image.

Extended Summary

The mode is the value that appears most often in the local histogram.

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

Examples

from skimage import data
from skimage.morphology import disk, ball
from skimage.filters.rank import modal
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 = modal(img, disk(5))
out_vol = modal(volume, ball(5))

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Aliases

skimage.filters.rank.modal