skimage2.transform.integrate#

skimage2.transform.integrate(ii, start, end)[source]#

Use an integral image to integrate over a given window.

Parameters:

iindarray: Integral image.
startList of tuples, each tuple of length equal to dimension of ii: Coordinates of top left corner of window(s). Each tuple in the list contains the starting row, col, … index i.e [(row_win1, col_win1, ...), (row_win2, col_win2,...), ...].
endList of tuples, each tuple of length equal to dimension of ii: Coordinates of bottom right corner of window(s). Each tuple in the list containing the end row, col, … index i.e [(row_win1, col_win1, ...), (row_win2, col_win2, ...), ...].

Returns:

Sscalar or ndarray: Integral (sum) over the given window(s).

See also

integral_image: Create an integral image / summed area table.

Examples

>>> from _skimage2.transform import integral_image
>>> arr = np.ones((5, 6), dtype=float)
>>> ii = integral_image(arr)
>>> integrate(ii, (1, 0), (1, 2))  # sum from (1, 0) to (1, 2)
array([3.])
>>> integrate(ii, [(3, 3)], [(4, 5)])  # sum from (3, 3) to (4, 5)
array([6.])
>>> # sum from (1, 0) to (1, 2) and from (3, 3) to (4, 5)
>>> integrate(ii, [(1, 0), (3, 3)], [(1, 2), (4, 5)])
array([3., 6.])