mia-2dimagestack-cmeans {-i io} {-o string} [
options
...]
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
input image(s) to be filtered. For supported file types see Plugin type: 2dimage/io
Save probability map to this file
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
Percent of the extrem parts of the histogram to be collapsed into the respective last histogram bin.
C-means class initializer. For supported plug-ins see Plugin type: 1d/cmeans
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 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
Gert Wollny