skimage2.filters.rank.gradient_percentile#
- skimage2.filters.rank.gradient_percentile(image, footprint, out=None, mask=None, shift_x=0, shift_y=0, p0=0, p1=1)[source]#
Return local gradient of an image (i.e., local maximum - local minimum).
Only grayvalues between percentiles [p0, p1] are considered in the filter.
- Parameters:
- imagendarray of shape (M, N) and dtype (uint8 or uint16)
Input image.
- footprintndarray of shape (m, n)
The neighborhood expressed as a 2-D array of 1’s and 0’s.
- outndarray of shape (M, N) and dtype int
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:
- outndarray of shape (M, N) and dtype int
Output image.
