maximum

maximum

skimage.filters.rank.maximum(image, selem, out=None, mask=None, shift_x=False, shift_y=False) [source]

Return local maximum of an image.

Parameters:

image : 2-D array (uint8, uint16) Input image. selem : 2-D array The neighborhood expressed as a 2-D array of 1’s and 0’s. out : 2-D array (same dtype as input) If None, a new array is allocated. mask : ndarray 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 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.

See also

skimage.morphology.dilation

Notes

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

Examples

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