``Cue-based_relaxation''-- segment an image using relaxation labeling

VFX name:

iCueRelax

IMPROMPTU Equivalent:

Cue-based_relaxation

purpose:

Uses relaxation labeling to segment an image into 2-8 distinct regions. The algorithms used to compute the initial probability vectors, perform the updating, and compute a final segmentation can be found in [7] and [8]. Briefly, using the naming as is found in [8], the strategies used for this version of relaxation labeling are: initial probabilities--By-slice, vector updating--fast general using support-reject compatibility coefficients. For final classification, each voxel gets the label corresponding to the largest vector component in that voxel's probability vector.

input:

An 8-bit volume called imagename, loaded into ROI using ROI's load volume command in the GO menu.

Another two 8-bit volumes, called imagename.b and imagename.c, which contain cue information that has been generated using the INTERSEG package [26].

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

cue_filename = foobar
number_regions = 2
num_iter = 10
exclusionary_cues = no
final_seg_thresh = 0.000

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.

This ``turnkey'' version of the relaxation labeling function is described in detail in [8].