WatershedSegmenter Class Reference
[Watershed-based Segmentation Filters]
#include <itkWatershedSegmenter.h>
Detailed Description
This filter implements the first step in the N-d watershed segmentation algorithm. It produces a segmented, labeled image from a scalar-valued image input. This filter is used in conjunction with WatershedSegmentTreeGenerator and WatershedRelabeler to produce a final segmented image volume. See itk::WatershedImageFilter for an overview of the entire algorithm and notes on the terminology used in describing it.
- The filter is designed to operate in streaming or non-streaming mode. For more information, see the itk::WatershedImageFilter documentation.
- Input
- There is one input to this algorithm, a real-valued (scalar) itk::Image of arbitrary dimension. The input is assumed to represents a height function, such as a gradient magnitude edge image. The filter can process an image of any dimension. Note that the terms ``pixel'' and ``voxel'' are interchangeable in this and other watershed component class documentation.
- Outputs
- There are three potential outputs of this algorithm described below.
- The first output is a labeled image of unsigned long integers. This is an initial segmentation and labeling that is fed into successive components of the watershed algorithm.
- The second output is a table of segment information, itk::watershed::SegmentTable. This table is a record of each segment numbered in the initial segmentation (output number one) with relevant information needed in successive stages of the algorithm.
- The third output is a data structure containing boundary pixel information, itk::watershed::Boundary. This data is only generated if the flag DoBoundaryAnalysis is set to true and is only useful in streaming applications.
- Parameters
- Threshold is specified as a percentage (0.0 - 1.0) of the maximum height of the image. This filter thresholds the input image to remove all values below
, where 
are the maximum, minimum values in the image and 
is the threshold parameter value. Values in the image less than 
are raised to .
- Thresholding minimum values in the image decreases the number of local minima in the image and produces an initial segmentation with fewer segments. The assumption is that the ``shallow'' regions that this thresholding eliminates are generally not of interest.
- See also:
- WatershedImageFilter
The documentation for this class was generated from the following file:
