mia-2dstack-cmeans-presegment(1)
NAME
mia-2dstack-cmeans-presegment - Pre-classify the input image series by using a c-means estimator
SYNOPSIS
mia-2dstack-cmeans-presegment -i <in-file> -o <out-mask> -L <label> [options]
DESCRIPTION
mia-2dstack-cmeans-presegment This program first evaluates a sparse histogram of an input image series, then runs a c-means classification over the histogram, and then estimates the mask for one (given) class based on class probabilities. This program accepts only images of eight or 16 bit integer pixels.
OPTIONS
File-IO
-i --in-file=(input, required); io
input image(s) to be filtered For supported file types
see PLUGINS:2dimage/io
-p --out-probmap=(output); string
Save probability map to this file
-t --type=png
output file name type
-o --out-mask=(output, required); string
output file name base
Help & Info
-V --verbose=warning
verbosity of output, print messages of given level and
higher priorities. Supported priorities starting at
lowest level are:
info Low level messages
trace Function call trace
fail Report test failures
warning Warnings
error Report errors
debug Debug output
message Normal messages
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 initializerC-means class initializer For
supported plugins see PLUGINS:1d/cmeans
-S --seed-threshold=0.95; float in (0, 1)
Probability threshold value to consider a pixel as seed
pixel.
-L --label=(required); int in [0, 10]
Class label to create the mask fromClass label to create
the mask from
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).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
EXAMPLE
Run the program over images imageXXXX.png with the sparse histogram,
threshold the lower 30% bins (if available), run cmeans with two
classes on the non-zero pixels and then create the mask for class 1 as
foregroundXXXX.png.
mia-2dstack-cmeans-presegment -i imageXXXX.png -o foreground -t png
--histogram-tresh=30 --classes 2 --label 1
AUTHOR(s)
Gert Wollny
COPYRIGHT
This software is Copyright (c) 19992015 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'.
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