mia-2dsegment-fuzzyw {-i io} {-c io} [
options
...]
This program is a implementation of a fuzzy c-means segmentation algorithm
image to be segmented. For supported file types see Plugin type: 2dimage/io
class probability images, the image type must support multiple images and floating point values. For supported file types see Plugin type: 2dimage/io
B-field corrected image. For supported file types see Plugin type: 2dimage/io
Logarithmic gain field, the image type must support floating point values. 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:
| 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 |
print copyright information
print this help
print a short help
print the version number and exit
number of classes to segment
initial class centers
neighborhood filter for B-field correction. For supported plug-ins see Plugin type: 2dimage/filter
weight of neighborhood filter for B-field correction
parameter describing the fuzzyness of mattar distinction
Stopping criterion for class center estimation.
Run a 5-class segmentation over inpt image input.v and store the class probability images in cls.v.
mia-2dsegment-fuzzyw -i input.v -a 5 -o cls.v