mia-2dfuzzysegment
{-i io
} [
options
...]
This program runs a combined fuzzy c-means clustering and B-field correction to facilitate a fuzzy segmentation of 2D image. cf D.L. Pham and J.L.Prince, "An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities", Pat. Rec. Let., 20:57-68,1999
input image(s) to be segmenetd. For supported file types see Plugin type: 2dimage/io
output class probability images (floating point values and multi-image). For supported file types see Plugin type: 2dimage/io
image corrected for intensity non-uniformity. For supported file types see Plugin type: 2dimage/io
gain field (floating point valued). For supported file types see Plugin type: 2dimage/io
verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:
debug: | Debug output |
message: | Normal messages |
info: | Low level messages |
error: | Report errors |
fatal: | Report only fatal errors |
trace: | Function call trace |
warning: | Warnings |
fail: | Report test failures |
print copyright information
print this help
print a short help
print the version number and exit
number of classes
relative residuum
Penalize magnitude of intensity inhomogeinity correction
Smoothness of intensity inhomogeinity correction
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 and the B0-field corrected image in b0.v.
mia-2dfuzzysegment -i input.v -c 5 -o b0.v -c cls.v
Gert Wollny