table of contents
mia-3dsegment-local-cmeans(1) | General Commands Manual | mia-3dsegment-local-cmeans(1) |
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. This program implements algorithm described in:
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:
- --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:
- kmeans
- C-Means initializer that sets the initial class centers by using a k-means classification, supported parameters are:
- predefined
- C-Means initializer that sets pre-defined values for the initial class centers, supported parameters are:
PLUGINS: 3dimage/io¶
- analyze
- Analyze 7.5 image
- datapool
- Virtual IO to and from the internal data pool
- dicom
- Dicom image series as 3D
- hdf5
- HDF5 3D image IO
- inria
- INRIA image
- mhd
- MetaIO 3D image IO using the VTK implementation (experimental).
- 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.
- vff
- VFF Sun raster format
- vista
- Vista 3D
- vti
- 3D image VTK-XML in- and output (experimental).
- vtk
- 3D VTK image legacy in- and output (experimental).
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'.
v2.4.7 | USER COMMANDS |