majority(image, selem, *, out=None, mask=None, shift_x=False, shift_y=False)

Parameters

image : ndarray

Image array (uint8, uint16 array).

selem : 2-D array (integer or float)

The neighborhood expressed as a 2-D array of 1's and 0's.

out : ndarray (integer or float), optional

If None, a new array will be allocated.

mask : ndarray (integer 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 : int, optional

Offset added to the structuring element center point. Shift is bounded to the structuring element sizes (center must be inside the given structuring element).

Returns

out : 2-D array (same dtype as input image)

Output image.

Majority filter assign to each pixel the most occuring value within its neighborhood.

Examples

This example is valid syntax, but we were not able to check execution

>>> from skimage import data
... from skimage.filters.rank import majority
... from skimage.morphology import disk
... img = data.camera()
... maj_img = majority(img, disk(5))

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

skimage.filters.rank.generic.majority

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