itk Namespace Reference

Classes
class	CascadedTransform
class	GridTransform
class	ImageMosaicVarianceMetric
	Computes mean pixel variance within the overlapping regions of a mosaic. More...
class	InverseTransform
class	LegendrePolynomialTransform
class	LiveWireImageFunction
	Implements livewire image segmentation of Barret and Mortensen. More...
class	MeshTransform
class	NormalizeImageFilterWithMask
	Normalize an image by setting its mean to zero and variance to one. More...
class	NumericInverse
class	RadialDistortionTransform
class	RBFTransform
class	RegularStepGradientDescentOptimizer2
class	StatisticsImageFilterWithMask
	Compute min. max, variance and mean of an Image. More...

Detailed Description

This class computes the mean pixel variance across several images within the overlapping regions of the mosaic. Each image is warped by a corresponding transform. All of the transforms must be of the same type (and therefore have the same number of parameters). Some of the transforms parameters may be shared across transforms. The shared/unique parameters are specified by a bit vector (true - shared, false - unique). This is usefull for radial distortion transforms where the translation parameters are unique for each image but the distortion parameters are the same across all images (all images are assumed to have been distorted by the same lens).