Provided by: mia-tools_2.4.6-5build3_amd64 bug

NAME

       mia-3dsegment-local-cmeans - Run a c-means segmentation of a 3D image.

SYNOPSIS

       mia-3dsegment-local-cmeans -i <in-file> [options]

DESCRIPTION

       mia-3dsegment-local-cmeans  This  program  runs the segmentation of a 3D image by applying a localized c-
       means approach that helps to overcome intensity inhomogeneities in the image. The  approach  evaluates  a
       global  c-means  clustering,  and  then  separates  the image into overlapping regions where more c-means
       iterations are run only including the locally present classes, i.e. the classes that  relatively  contain
       more pixels than a given threshold.

OPTIONS

   File-IO
              -i --in-file=(required, input); io
                     image to be segmented
                      For supported file types see PLUGINS:3dimage/io

              -o --out-file=(output); io
                     class label image based on merging local labels
                      For supported file types see PLUGINS:3dimage/io

              -G --out-global-crisp=(output); io
                     class label image based on global segmentation
                      For supported file types see PLUGINS:3dimage/io

              -C --class-prob=(output); io
                     class probability image file, filetype must support floating point multi-frame images
                      For supported file types see PLUGINS:3dimage/io

   Help & Info
              -V --verbose=warning
                     verbosity  of  output,  print  messages  of  given  level  and higher priorities. Supported
                     priorities starting at lowest level are:

                        trace ‐ Function call trace
                        debug ‐ Debug output
                        info ‐ Low level messages
                        message ‐ Normal messages
                        warning ‐ Warnings
                        fail ‐ Report test failures
                        error ‐ Report errors
                        fatal ‐ Report only fatal errors

                 --copyright
                     print copyright information

              -h --help
                     print this help

              -? --usage
                     print a short help

                 --version
                     print the version number and exit

   Parameters
              -g --grid-spacing=15; int in [3, inf)
                     Spacing of the grid used to modulate the intensity inhomogeneities

              -c --cmeans=kmeans:nc=3
                     c-means initializer
                      For supported plugins see PLUGINS:1d/cmeans

              -e --c-means-epsilon=0.0001; float in (0, inf)
                     c-means breaking condition for update tolerance

              -t --relative-cluster-threshold=0.02; double in [0, 1)
                     threshhold to ignore classes when initializing the local cmeans from the global one.

              -B --ignore-background
                     Don't take background probablities into account when desiding whether  classes  are  to  be
                     ignored

              -L --label-threshold=0; float in [0, 1]
                     for  values <= 0.5: create segmentation based on highest class probability, labels start at
                     0. For values >0.5: create labels only for voxels with a class probability higher than  the
                     given value, labels start at 1 and voxels without an according class probability are set to
                     0; this output is suitable for the seeded watershed filter.

   Processing
                 --threads=-1
                     Maxiumum number of threads to use for processing,This number should be lower  or  equal  to
                     the number of logical processor cores in the machine. (-1: automatic estimation).

PLUGINS: 1d/cmeans

       even      C-Means  initializer  that  sets  the  initial  class centers as evenly distributed over [0,1],
                 supported parameters are:

                     nc =(required, ulong)
                       Number of classes to use for the fuzzy-cmeans classification.

       kmeans    C-Means initializer that sets the initial class centers  by  using  a  k-means  classification,
                 supported parameters are:

                     nc =(required, ulong)
                       Number of classes to use for the fuzzy-cmeans classification.

       predefined
                 C-Means  initializer  that  sets  pre-defined  values  for the initial class centers, supported
                 parameters are:

                     cc =(required, vdouble)
                       Initial class centers fuzzy-cmeans classification (normalized to range [0,1]).

PLUGINS: 3dimage/io

       analyze   Analyze 7.5 image

                     Recognized file extensions:  .HDR, .hdr

                     Supported element types:
                       unsigned 8 bit, signed 16 bit, signed 32 bit, floating point 32 bit,  floating  point  64
                       bit

       datapool  Virtual IO to and from the internal data pool

                     Recognized file extensions:  .@

       dicom     Dicom image series as 3D

                     Recognized file extensions:  .DCM, .dcm

                     Supported element types:
                       signed 16 bit, unsigned 16 bit

       hdf5      HDF5 3D image IO

                     Recognized file extensions:  .H5, .h5

                     Supported element types:
                       binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit,
                       unsigned 32 bit, signed 64 bit, unsigned 64 bit, floating point 32 bit, floating point 64
                       bit

       inria     INRIA image

                     Recognized file extensions:  .INR, .inr

                     Supported element types:
                       signed  8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit, unsigned 32
                       bit, floating point 32 bit, floating point 64 bit

       mhd       MetaIO 3D image IO using the VTK implementation (experimental).

                     Recognized file extensions:  .MHA, .MHD, .mha, .mhd

                     Supported element types:
                       signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit, unsigned  32
                       bit, floating point 32 bit, floating point 64 bit

       nifti     NIFTI-1  3D  image  IO.  The  orientation  is  transformed in the same way like it is done with
                 'dicomtonifti --no-reorder' from the vtk-dicom package.

                     Recognized file extensions:  .NII, .nii

                     Supported element types:
                       signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit, unsigned  32
                       bit, signed 64 bit, unsigned 64 bit, floating point 32 bit, floating point 64 bit

       vff       VFF Sun raster format

                     Recognized file extensions:  .VFF, .vff

                     Supported element types:
                       unsigned 8 bit, signed 16 bit

       vista     Vista 3D

                     Recognized file extensions:  .-, .V, .VISTA, .v, .vista

                     Supported element types:
                       binary data, signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit,
                       unsigned 32 bit, floating point 32 bit, floating point 64 bit

       vti       3D image VTK-XML in- and output (experimental).

                     Recognized file extensions:  .VTI, .vti

                     Supported element types:
                       signed 8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit, unsigned  32
                       bit, floating point 32 bit, floating point 64 bit

       vtk       3D VTK image legacy in- and output (experimental).

                     Recognized file extensions:  .VTK, .VTKIMAGE, .vtk, .vtkimage

                     Supported element types:
                       signed  8 bit, unsigned 8 bit, signed 16 bit, unsigned 16 bit, signed 32 bit, unsigned 32
                       bit, floating point 32 bit, floating point 64 bit

EXAMPLE

       Run the segmentation on image test.png using three classes, local regions of 40  pixels  (grid  width  20
       pixels), and a class ignore threshold of 0.01.

       mia-3dsegment-local-cmeans -i test.png -o label.png -n 3 -g 20 -t 0.01

AUTHOR(s)

       Gert Wollny

COPYRIGHT

       This  software is Copyright (c) 1999‐2015 Leipzig, Germany and Madrid, Spain.  It comes  with  ABSOLUTELY
       NO WARRANTY  and  you  may redistribute it under the terms of the GNU GENERAL PUBLIC  LICENSE  Version  3
       (or later). For more information run the program with the option '--copyright'.