mia-2dstack-cmeans-presegment
{-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 estimates a per image seeds for later segmentation based on class probabilities. This program accepts only images of eight or 16 bit integer pixels.
input image(s) to be filtered. For supported file types see Plugin type: 2dimage/io
Save probability map to this file
output file name type
output file name base
prefix for flow initialization images
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
Percent of the extrem parts of the histogram to be collapsed into the respective last histogram bin.
C-means class initializerC-means class initializer. For supported plug-ins see Plugin type: 1d/cmeans
Probability threshold value to consider a pixel as seed pixel.
Class probability threshold to cut the flow to zero for the source/sink flow connectivity creation
Scaling factor to adjust the flow evaluated from the initial c-means segmentation.
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).
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 seeds mask as seedXXXX.png.
mia-2dstack-cmeans-presegment -i image.png -o seed -t png --histogram-tresh=30 --classes 2
Gert Wollny