Package com.openinventor.imageviz.engines.geometryandmatching.registration

This group provides a package of registration functions.

See: Description

Class Summary

Class	Description
SoImagePreAlignmentTransform3d	SoImagePreAlignmentTransform3d image filter SoImagePreAlignmentTransform3d estimates a transformation (translation and rotation) that aligns a moving image with a fixed image based on their intensity values.
SoImageRegistrationTransform	SoImageRegistrationTransform image filter SoImageRegistrationTransform computes the best transformation for the co-registration of two images, using an iterative optimization algorithm.
SoImageRegistrationTransform.RegistrationEvent	This event describes the evolution of the registration process.
SoImageRegistrationTransform3d	Deprecated As of Open Inventor 9800 See documentation for more details
SoImageRegistrationTransform3d.RegistrationEvent	Deprecated

Enum Summary

Enum	Description
SoImagePreAlignmentTransform3d.AlignmentModes	This enum defines the different types of alignments.
SoImageRegistrationTransform.MetricTypes	This enum defines the different types of metric used to compute the similarity value.
SoImageRegistrationTransform.TransformationTypes	This enum defines the types of transforms that can be computed.
SoImageRegistrationTransform3d.MetricTypes	This enum defines the different types of metric.
SoImageRegistrationTransform3d.TransformationTypes	This enum defines the types of transforms that can be computed.

Package com.openinventor.imageviz.engines.geometryandmatching.registration Description

This group provides a package of registration functions. Spatial registration is about aligning or overlaying two or more data sets into the same coordinate system. In registration, typically one of the data sets is taken as the reference, and the other one is transformed - moved and possibly rescaled - until both data sets match. Registered data can be produced by different sensors, at different times, from different object regions, or from different specimens or models. Image registration methods can be manual, automatic, or semi-automatic. Closely related to registration is the task of data fusion, i.e., the simultaneous visualization of registered data sets, or combination into derivative data.