`skimage.filters.rank._percentile:sum_percentile`

source: /dev/scikit-image/src/skimage/filters/rank/_percentile.py :393

Signature

   def     sum_percentile (    image    ,    footprint    ,    out    =  None   ,    mask    =  None   ,    shift_x    =  0   ,    shift_y    =  0   ,    p0    =  0   ,    p1    =  1     )

Summary

Return the local sum of pixels.

Extended Summary

Only grayvalues between percentiles [p0, p1] are considered in the filter.

Note that the sum may overflow depending on the data type of the input array.

Parameters

image : 2-D array (uint8, uint16): Input image.
footprint : ndarray of shape (m, n): The neighborhood expressed as a 2-D array of 1's and 0's.
out : 2-D array, same dtype as input `image`: 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 footprint center point. Shift is bounded to the footprint sizes (center must be inside the given footprint).
p0, p1 : float, optional, in interval [0, 1]: Define the [p0, p1] percentile interval to be considered for computing the value.

Returns

out : 2-D array, same dtype as input `image`: Output image.

Aliases

skimage.filters.rank.sum_percentile