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

Notes

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

Parameters

image : 2-D array (integer or float): Input image.
selem : 2-D array (integer or float): The neighborhood expressed as a 2-D array of 1's and 0's.
out : 2-D array (integer or float), optional: If None, a new array is 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.

Return local minimum of an image.

Examples

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

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

See :

Back References

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

skimage.morphology.grey.erosion skimage.filters.rank.generic.minimum

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