mia-2dmultiimageregistration

Sysnopis:

mia-2dmultiimageregistration {-o io} [ options ...] [ Plugin type: 2dimage/fullcost ...]

Description:

This program runs a non-rigid registration based on the given cost criteria and a given transformation model. Other than mia-2dnonrigidreg it doesn't support specific command line parameters to provide the images. Instead the images are specified dirctly when defining the cost function. Hence, image registrations can be executed that optimize the aligmnet of more than one image pair at the same time. Note, however, that all input images must be of the same dimension (in pixels)

Options:

-o, --out-transform=(output, required); io

output transformation. For supported file types see Plugin type: 2dtransform/io

-l, --levels=3; ulong

multi-resolution levels

-O, --optimizer=gsl:opt=gd,step=0.1; factory

Optimizer used for minimization. For supported plug-ins see Plugin type: minimizer/singlecost

-f, --transForm=spline:rate=10,penalty=divcurl; factory

transformation type. For supported plug-ins see Plugin type: 2dimage/transform

Help & Info

-V, --verbose=warning; dict

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
--copyright=(); bool

print copyright information

-h, --help=(); bool

print this help

-?, --usage=(); bool

print a short help

--version=(); bool

print the version number and exit

Processing

--threads=-1; int

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).

Example:

Register image test.v to image ref.v by using a spline transformation with a coefficient rate of 5 and write the registered image to reg.v. Use two multiresolution levels, ssd as image cost function and divcurl weighted by 10.0 as transformation smoothness penalty. The resulting transformation is saved in reg.vf.

mia-2dmultiimageregistration -o reg.vf -l 2 -f spline:rate=3,penalty=divcurl image:cost=ssd,src=test.v,ref=ref.v

Author(s):

Gert Wollny