Reg average

Usage

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usage:
	reg_average <outputFileName> [OPTIONS]

	-avg <inputAffineName1> <inputAffineName2> ... <inputAffineNameN> 
		If the input are images, the intensities are averaged
		If the input are affine matrices, out=expm((logm(M1)+logm(M2)+...+logm(MN))/N)

	-avg_lts <AffineMat1> <AffineMat2> ... <AffineMatN> 
		It will estimate the robust average affine matrix by considering 503000uliers.

	-avg_tran <referenceImage> <transformationFileName1> <floatingImage1> ... <transformationFileNameN> <floatingImageN> 
		All input images are resampled into the space of <reference image> and averaged
		A cubic spline interpolation scheme is used for resampling

	-demean1 <referenceImage> <AffineMat1> <floatingImage1> ...  <AffineMatN> <floatingImageN>
		The demean1 option enforces the mean of all affine matrices to have
		a Jacobian determinant equal to one. This is done by computing the
		average transformation by considering only the scaling and shearing
		arguments.The inverse of this computed average matrix is then removed
		to all input affine matrix beforeresampling all floating images to the
		user-defined reference space

	-demean2 <referenceImage> <NonRigidTrans1> <floatingImage1> ... <NonRigidTransN> <floatingImageN>
	-demean3 <referenceImage> <AffineMat1> <NonRigidTrans1> <floatingImage1> ...  <AffineMatN> <NonRigidTransN> <floatingImageN>


	--version		Print current source code git hash key and exit
				(3d24c3580a0cd227f30540578b3f84eca9d01e4a)
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