mia-3dsegment-ahmed
{-i io
} {-c io
} [
options
...]
This program implements a variation of the paper:Mohamed N. Ahmed et. al, "A Modified Fuzzy C-Means Algorithm for Bias Field estimation and Segmentation of MRI Data", IEEE Trans. on Medical Imaging, Vol. 21, No. 3, March 2002, changes are: p=2, and exp
image to be segmented. For supported file types see Plugin type: 3dimage/io
class probability images, the image type must support multiple images and floating point values. For supported file types see Plugin type: 3dimage/io
Bias corrected image will be of the same type like the input image. If this parameter is not given, then the bias correction will not be applied.. For supported file types see Plugin type: 3dimage/io
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 |
print copyright information
print this help
print a short help
print the version number and exit
number of classes
initial class centers, this parameter overrides 'no-of-clases'.
spread parameter describing the strength of mattar distinction
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).
Run a 5-class segmentation over input image input.v and store the class probability images in cls.v.
mia-3dsegment-ahmed -i input.v -a 5 -o cls.v
Gert Wollny