criticalKernelsThinning3D

Applies an criticalKernels thinning algorithm of a 3d image file (vol,longvol,pgm3d...) with 3D viewer.

Usage: criticalKernelsThinning3D [options] –input <3dImageFileName> {vol,longvol,pgm3d...}

Allowed options are :

-h [ --help ]                    display this message.
-i [ --input ] arg               Input vol file.
-s [ --skel] arg                 Skeletonization: only keep certain voxels during thinning.
                                 Options: ulti,end, 1isthmus, isthmusulti: delete all voxels except those that change topology.
                                 end: keep voxels with only one neighbor.
                                 1isthmus: keep voxels that are one-isthmus (using LookUpTables) [faster]
                                 isthmus: keep voxels that are one-isthmus or two-isthmus (using LookUpTables) [faster]

-s [ --skel ] arg                type of skeletonization
-c [ --select] arg               Select: order in which select voxels in the process.
                                 Options: dmax, first, random
                                 dmax: Use distance map, selecting voxel with max value.
                                 first: Select first pixel (lexicographical order)
                                 random: Select voxel at random.
-f [ --foreground ] arg (=black) foreground color in binary image
-m [ --thresholdMin ] arg (=0)   threshold min (excluded) to define binary 
                                 shape
-M [ --thresholdMax ] arg (=255) threshold max (included) to define binary 
                                 shape
-p [ --persistence ] arg (=0)    persistence value, implies use of 
                                 persistence algorithm if p>=1
--profile                        profile algorithm
-v [ --verbose ]                 verbose output
-o [ --exportImage ] arg         Export the resulting set of points to a 
                                 image compatible with GenericWriter.
-e [ --exportSDP ] arg           Export the resulting set of points in a 
                                 simple (sequence of discrete point (sdp)).
-t [ --visualize ]               visualize result in viewer

Example:

$  criticalKernelsThinning3D --input ${DGtal}/examples/samples/Al.100.vol --select dmax --skel 1isthmus --persistence 1 -t

You should obtain such a result:

Resulting visualization.

See also

criticalKernelsThinning3D.cpp