skimage2.filters.rank.pop_percentile

skimage2.filters.rank.pop_percentile(image, footprint, out=None, mask=None, shift_x=0, shift_y=0, p0=0, p1=1)

Return the local number (population) of pixels.

The number of pixels is defined as the number of pixels which are included in the footprint and the mask.

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

Parameters:

image2-D array (uint8, uint16)

Input image.

footprintndarray of shape (m, n)

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

out2-D array, same dtype as input image

If None, a new array is allocated.

maskndarray

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_yint

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

p0, p1float, optional, in interval [0, 1]

Define the [p0, p1] percentile interval to be considered for computing the value.

Returns:

out2-D array, same dtype as input image

Output image.