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``Marker-based_WS_relax'' - segment an image using watershed relaxation using markers

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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Next: ``morphological_gradient'' - morphological gradient Up: Segmentation Previous: ``Cue-based_WS_relax'' - segment an
MultiDimensional Image Processing Lab, Penn State University