skimage2.morphology.convex_hull_image#
- skimage2.morphology.convex_hull_image(image, offset_coordinates=True, tolerance=1e-10, include_borders=True)[source]#
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.
- Parameters:
- imagearray
Binary input image. This array is cast to bool before processing.
- offset_coordinatesbool, 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.- tolerancefloat, 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_bordersbool, optional
If
False, vertices/edges are excluded from the final hull mask.
- Returns:
- hull(M, N) array of bool
Binary image with pixels in convex hull set to True.
References
