SoImageRegistrationTransformMetricTypes Enumeration |
This enum defines the different types of metric used to compute the similarity value.
Namespace: OIV.ImageViz.Engines.GeometryAndMatching.Registration
Member name | Value | Description | |
---|---|---|---|
EUCLIDIAN | 0 | Euclidean means the Euclidean distance, i.e., the mean squared difference between the gray values of model and reference. This metric computes values between Warning, this mode is temporary disabled, its selection will run the mutual information metric. | |
CORRELATION | 1 | Correlation measures the correlation ratio of the registered images. This metric computes values between 0 and 1. The case correlation ratio = 1 corresponds to the case of two identical and registered images. | |
NORMALIZED_MUTUAL_INFORMATION | 2 | The mutual information measures the information shared by both images. This metric computes values between 0 and The mutual information metrics, especially the normalized one, are recommended when images from different modalities, e.g., CT and MRT, are to be registered. The mutual information is: |