logo
Free, unlimited AI code reviews that run on commit
git-lrc git-lrc GitHub Install Now We'd appreciate a star git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt git-lrc - Free, unlimited AI code reviews that run on commit | Product Hunt

mia-2dimagestack-cmeans - Calculate the c-means classification for a series of images.

Author(S)

       Gert Wollny

Description

mia-2dimagestack-cmeans  This  program  first evaluates a sparse histogram of an input image series, then
       runs a c-means classification over the histogram and then writes the probability mapping for thr original
       intensity values

Example

       Run the program over images imageXXXX.png with the sparse histogram, threshold  the  lower  5%  bins  (if
       available), run cmeans with three classes on the non-zero pixels.

       mia-2dimagestack-cmeans -i image0000.png -o cmeans,txt --histogram-tresh=5 --classes 3

Name

       mia-2dimagestack-cmeans - Calculate the c-means classification for a series of images.

Options

File-IO
              -i --in-file=(input, required); io
                     input image(s) to be filtered
                      For supported file types see PLUGINS:2dimage/io

              -o --out-probmap=(required, output); string
                     Save probability map to this file

   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
              -T --histogram-thresh=5; float in [0, 50]
                     Percent  of  the  extrem  parts  of  the histogram to be collapsed into the respective last
                     histogram bin.

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

   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: 2Dimage/Io

bmp       BMP 2D-image input/output support. The plug-in supports reading and writing  of  binary  images
                 and  8-bit  gray  scale  images. read-only support is provided for 4-bit gray scale images. The
                 color table is ignored and the pixel values are taken as literal gray scale values.

                     Recognized file extensions:  .BMP, .bmp

                     Supported element types:
                       binary data, unsigned 8 bit

       datapool  Virtual IO to and from the internal data pool

                     Recognized file extensions:  .@

       dicom     2D image io for DICOM

                     Recognized file extensions:  .DCM, .dcm

                     Supported element types:
                       signed 16 bit, unsigned 16 bit

       exr       a 2dimage io plugin for OpenEXR images

                     Recognized file extensions:  .EXR, .exr

                     Supported element types:
                       unsigned 32 bit, floating point 32 bit

       jpg       a 2dimage io plugin for jpeg gray scale images

                     Recognized file extensions:  .JPEG, .JPG, .jpeg, .jpg

                     Supported element types:
                       unsigned 8 bit

       png       a 2dimage io plugin for png images

                     Recognized file extensions:  .PNG, .png

                     Supported element types:
                       binary data, unsigned 8 bit, unsigned 16 bit

       raw       RAW 2D-image output support

                     Recognized file extensions:  .RAW, .raw

                     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

       tif       TIFF 2D-image input/output support

                     Recognized file extensions:  .TIF, .TIFF, .tif, .tiff

                     Supported element types:
                       binary data, unsigned 8 bit, unsigned 16 bit, unsigned 32 bit

       vista     a 2dimage io plugin for vista images

                     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

Synopsis

mia-2dimagestack-cmeans-i<in-file>-o<out-probmap>[options]

See Also