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DOC: Fix broken link in watershed docs.

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Stefan van der Walt
2011-10-10 12:04:18 -07:00
parent 8ea911d1e7
commit 95973b7ac2
1 changed files with 16 additions and 14 deletions
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doc/examples/plot_watershed.py
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@@ -3,23 +3,25 @@
Watershed segmentation
======================
The watershed is a classical algorithm used for **segmentation**, that is, for
separating different objects in an image.
The watershed is a classical algorithm used for **segmentation**, that
is, for separating different objects in an image.
Starting from user-defined markers, the watershed algorithm treats pixels
values as a local topography (elevation). The algorithm floods basins from the
markers, until basins attributed to different markers meet on watershed lines.
In many cases, markers are chosen as local minima of the image, from which
basins are flooded.
Starting from user-defined markers, the watershed algorithm treats
pixels values as a local topography (elevation). The algorithm floods
basins from the markers, until basins attributed to different markers
meet on watershed lines. In many cases, markers are chosen as local
minima of the image, from which basins are flooded.
In the example below, two overlapping circles are to be separated. To do so,
one computes an image that is the distance to the background. The maxima of
this distance (i.e., the minima of the opposite of the distance) are chosen as
markers, and the flooding of basins from such markers separates the two circles
along a watershed line.
In the example below, two overlapping circles are to be separated. To
do so, one computes an image that is the distance to the
background. The maxima of this distance (i.e., the minima of the
opposite of the distance) are chosen as markers, and the flooding of
basins from such markers separates the two circles along a watershed
line.
See http://en.wikipedia.org/wiki/Watershed_(image_processing) for more details
on the algorithm.
See `Wikipedia
<http://en.wikipedia.org/wiki/Watershed_(image_processing)>`__ for
more details on the algorithm.
"""
import numpy as np