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Note rewritten

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This commit is contained in:
Chintak Sheth
2013-05-24 00:23:33 +05:30
parent a2a40de83e
commit bec3b4e324
1 changed files with 7 additions and 8 deletions
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skimage/morphology/convex_hull.py
+7 -8
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@@ -66,7 +66,7 @@ def convex_hull_image(image):
return mask
def convex_hull_object(image, neighbors):
def convex_hull_object(image, neighbors=8):
"""Compute the convex hull image of individual objects in a binary image.
The convex hull is the set of pixels included in the smallest convex
@@ -86,13 +86,12 @@ def convex_hull_object(image, neighbors):
Note
----
In this function individual masks are generated using the label
function in ``skimage.morphology``. ``convex_hull_image`` is applied on the
extracted object and combined with other hulls using logical OR. This can
however lead to overlapping of hulls, producing inaccurate results. In this
case it is advisable to create a single mask of the objects who's hulls
would otherwise overlap. The ``convex_hull_image`` can be applied on the
extracted objects, rather than individually.
This function uses the label function defined in ccomp.pyx. Using this
convex_hull_image of individual objects are extracted and combined using
logical OR. However, OR operation may lead to overlapping of hulls, thus
giving inaccurate results. In such a case, it would be helpful for users
to use the above approach to create a mask of several objects (whose hulls
overlap).
"""