sum_percentile(image, selem, out=None, mask=None, shift_x=False, shift_y=False, p0=0, p1=1)
Only greyvalues between percentiles [p0, p1] are considered in the filter.
Note that the sum may overflow depending on the data type of the input array.
Input image.
The neighborhood expressed as a 2-D array of 1's and 0's.
If None, a new array is allocated.
Mask array that defines (>0) area of the image included in the local neighborhood. If None, the complete image is used (default).
Offset added to the structuring element center point. Shift is bounded to the structuring element sizes (center must be inside the given structuring element).
Define the [p0, p1] percentile interval to be considered for computing the value.
Output image.
Return the local sum of pixels.
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