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- VFX name:
- iWS_MarkerRelax
- IMPROMPTU Equivalent:
- Marker-based_watershed_relax
- purpose:
- Watershed Relaxation uses both Watershed analysis []
and Relaxation labeling [7] to perform segmentation. Watershed analysis
using markers is performed initially on the gradient of image to produce basins. Relaxation
labeling is performed on the resultant basins to produce a segmented output image. Thus,
it uses, speed of watershed analysis and region smoothing property of relaxation
labeling to produce a better segmented output when compared to watershed analysis alone.
- input:
- Two 8-bit volumes ( original image and gradient image).
- output:
- An 8-bit volume in segmentation volume format (refer
to the demask region function, p.
) containing
the segmented regions .
- parameters:
- Default parameters menu is
grad_vol = 0
marker_slice = 2
num_regions = 2
Region 1 parameters:
first_mean: 0
first_std_dev 0
Region 2 parameters:
second_mean: 0
second_std_dev 0
Region 3 parameters:
third_mean: 0
third_std_dev 0
Region 4 parameters:
fourth_mean: 0
fourth_std_dev 0
num_iter = 10
percent_neigh = 25.0
final_seg_thresh = 0.0
If the final segmentation threshold is set to 0.0, then the maximum vector
component for each voxel is assumed to represent that voxel's appropriate
labeling. If a threshold is set, then the maximum vector component value
for a voxel must be greater than the threshold value for that voxel to be
labeled as part of a region.
- comments:
- See below.
- 1.
- See Cue-based_WS_relax for a comparable function.
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MultiDimensional Image Processing Lab, Penn State University