habit.supervoxel: partition an ROI

Supervoxel partitioning and per-supervoxel feature capabilities.

User guide: Habitat domain API · Habitat Guide Partitioning a ROI into supervoxels. Component names: Habitat Spec component catalog.

Classes

Supervoxelizer	Partition one subject's ROI into supervoxels.
SlicSupervoxelizer	Partition the ROI into SLIC supervoxels and average features within each.
KMeansSupervoxelizer	Partition the ROI by k-means over voxel features.
GmmSupervoxelizer	Partition the ROI by a Gaussian mixture over voxel features.
SupervoxelizerRegistry	Name-to-implementation registry for supervoxelizers.
SupervoxelFeatureExtractor	Describe each supervoxel of one subject, replacing the default summary.
MeanVoxelFeatures	Describe each supervoxel by the mean of the voxel features within it.
MeanSupervoxelFeatures	Average the voxel signal within each supervoxel, one modality at a time.
StdSupervoxelFeatures	Sample standard deviation of the voxel signal within each supervoxel.
PercentileSupervoxelFeatures	A percentile of the voxel signal within each supervoxel.
SupervoxelRadiomicsFeatures	Describe each supervoxel by PyRadiomics features of the original images.
SupervoxelFeatureTree	Evaluate a supervoxel-level feature tree into one Supervoxelization.
SupervoxelFeatureExtractorRegistry	Name-to-implementation registry for supervoxel feature extractors.

Functions

build_supervoxel_extractor	Build one supervoxel-level node: a leaf extractor or a combiner tree.
aggregate_voxel_means	Average each voxel feature within each supervoxel.