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BUILT-IN MATHEMATICA SYMBOL
WatershedComponents
WatershedComponents[image]
computes the watershed transform of image, returning the result as a matrix in which positive integers label the catchment basins.
WatershedComponents[image, marker]
uses a binary image marker to indicate regions where basins may be created.
Details and Options
- WatershedComponents[image] finds basins at each regional minimum in image.
- WatershedComponents[image, marker] finds basins only at the positions corresponding to foreground regions in a binary image marker.
- In WatershedComponents[image, marker], marker can be given either as an image, a graphics object, or a list of points
in the standard image coordinate system, where x runs from 0 to width and y runs from 0 to height, and position 
corresponds to the bottom-left corner of the image. - Typically, nonzero elements of marker are treated as seeds for the segmentation.
- In the label matrix returned by WatershedComponents, zeros represent positions that do not belong to any foreground component.
- WatershedComponents works with binary, grayscale, and other images.
- For multichannel images, WatershedComponents operates on the intensity averaged over all channels.
- WatershedComponents[image, Method->method] specifies the method to use to compute the watershed transform.
- The default setting is Method->"Watershed". Possible settings include:
-
"Watershed" morphological watershed method (Meyer) "Basins" modified watershed algorithm (Beucher, Meyer) "Rainfall" gradient descent or rainfall algorithm (Osma-Ruiz) "Immersion" watershed immersion algorithm (Vincent-Soille) {"MinimumSaliency",t} gradient descent algorithm that merges adjacent basins if their minimum boundary height is less than t - The
and 
methods return the watershed lines, represented as 0s in the label matrix. - With the
method, only four direct neighbors are considered adjacent. All other methods treat all eight pixels surrounding a given pixel as adjacent. - With a setting CornerNeighbors->False, WatershedComponents finds a segmentation based only on directly connected pixels.
New in 8
