`skimage.morphology.convex_hull:convex_hull_image`

source: /dev/scikit-image/src/skimage/morphology/convex_hull.py :74

Signature

   def     convex_hull_image (    image    ,    offset_coordinates    =  True   ,    tolerance    =  1e-10   ,    include_borders    =  True     )

Compute the convex hull image of a binary image.

The convex hull is the set of pixels included in the smallest convex polygon that surround all white pixels in the input image.

image : array: Binary input image. This array is cast to bool before processing.
offset_coordinates : bool, optional: If True, a pixel at coordinate, e.g., (4, 7) will be represented by coordinates (3.5, 7), (4.5, 7), (4, 6.5), and (4, 7.5). This adds some "extent" to a pixel when computing the hull.
tolerance : float, optional: Tolerance when determining whether a point is inside the hull. Due to numerical floating point errors, a tolerance of 0 can result in some points erroneously being classified as being outside the hull.
include_borders : bool, optional: If False, vertices/edges are excluded from the final hull mask.

hull : (M, N) array of bool: Binary image with pixels in convex hull set to True.