Package net.imglib2.algorithm.metrics.segmentation

Class Summary

Class	Description
ConfusionMatrix<I extends IntegerType<I>,J extends IntegerType<J>>	In an instance segmentation problem, where each instance is represented by an ensemble of pixels with equal value, the confusion matrix between the ground-truth and a predicted image is a 2D matrix whose elements Cij are equal to the number of pixels shared between ground-truth label i and predicted label j.
LazyMultiMetrics	The LazyMultiMetrics computes a running MultiMetrics over all images added by calling addTimePoint.
LazySEGMetrics	The LazySEGMetrics computes a running SEGMetrics over all images added by calling addTimePoint.
MultiMetrics	Compute a set of metrics at a specific threshold between the labels of a predicted and of a ground-truth image.
MultiMetrics.MetricsSummary	An object holding the sum of TP, FP, FN and IoU values, accumulated over the T dimension.
SEGMetrics	The SEG metrics computes the IoU metrics between ground-truth labels and the prediction labels that overlap with a percentage greater than 0.5.

Enum Summary

Enum	Description
MultiMetrics.Metrics	Metrics computed by MultiMetrics objects.