world_grains_voronoi — SEGMENTATION world op

• Data kinds: none → table (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.world_grains_voronoi(n: 'int' = 36, seed: 'int' = 0, *, size=(192, 192), jitter: 'float' = 0.8, boundary_width: 'float' = 1.5, noise: 'float' = 0.02) -> 'Dict[str, object]' (to call the implementation directly, import segworld; segworld.world_grains_voronoi(n: 'int' = 36, seed: 'int' = 0, *, size=(192, 192), jitter: 'float' = 0.8, boundary_width: 'float' = 1.5, noise: 'float' = 0.02) -> 'Dict[str, object]'; from the registry, opssegmentation.get("world_grains_voronoi"))

Usage

Voronoi grain world: n jittered seeds on a lattice; labels = index of the nearest seed (1..n) (world_grains_voronoi).

Image = per-grain brightness (0.4-0.75) × dark lines along grain boundaries (width boundary_width, drawn from the closed-form distance to the boundary) + noise. There is no background (every pixel belongs to some grain).

Returns: image, labels, edge_distance (distance from each pixel to the grain boundary), truth = {n, seeds (n, 2), areas (polygons, shoelace), edge_length_total (sum of internal edge lengths), n_edges, polygons, boundary_width, total_area = H·W}.

Detailed usage guide

• halcon_segmentation family guide

Background guides (the physics and conventions behind this op)

• segmentation_scoring_and_worlds — Scoring segmentations and synthetic worlds with ground truth — which metric is blind to which failure

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_graph_hierarchy_segmentation — py -3.11 examples/poc_graph_hierarchy_segmentation.py

• poc_segmentation_gauntlet — py -3.11 examples/poc_segmentation_gauntlet.py

Ops the type connects to (they accept table as input)

class_ndim_norm

Same category (world)

world_blobs_touching · world_parts_with_shadow · world_texture_regions · world_gradient_illumination · world_thin_structures · lens_area · voronoi_cells

*Provenance: segworld.py — SEGMENTATION operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.