3D image segmentation based on region growing from a seed point. Neighboring points are added, either when their intensity is equal or higher than that of the seed point, or of the intensity is lower or equal then that of the neighoring point. After region growing is finished, this mask is used to zero out the region in the original image yielding the resulting image.
input image(s) to be filtered. For supported file types see Plugin type: 3dimage/io
output image(s) that have been filtered. For supported file types see Plugin type: 3dimage/io
neighborhood shape. For supported plug-ins see Plugin type: 3dimage/shape
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|
|fatal:||Report only fatal errors|
print copyright information
print this help
print a short help
print the version number and exit
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 region growing on input.v starting at point <10,23,21> and use the 18n neighbourhood.
mia-3dmaskseeded -i image.v -o masked.v -s '<10,23,21>' -n 18n