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_texture_regions(seed: 'int' = 0, *, size=(192, 192), n_regions: 'int' = 3, mean: 'float' = 0.5, noise: 'float' = 0.03) -> 'Dict[str, object]' (to call the implementation directly, import segworld; segworld.world_texture_regions(seed: 'int' = 0, *, size=(192, 192), n_regions: 'int' = 3, mean: 'float' = 0.5, noise: 'float' = 0.03) -> 'Dict[str, object]'; from the registry, opssegmentation.get("world_texture_regions"))
World of 2-4 regions that share the same mean but differ only in variance and period (uncuttable by thresholding) (world_texture_regions).
> The detailed description below is the original text — the summary and the headings are translated.
領域 = 離した種の最近傍(ボロノイ)。模様は順に: 小さい雑音(σ = noise)、大きい雑音(σ = 4 noise)、縞(周期 P₁・向き θ₁、
振幅 0.2)+ 雑音、縞(周期 P₂・向き θ₂)+ 雑音。どれも零平均で `mean` に足す(クリップは ±0.45 で対称 = 平均を保つ)。
返り値: `image、labels、truth = {n_regions、mean、seeds、specs`(kind, std(理論)、period、angle(度)、amp)}。
• halcon_segmentation family guide
• segmentation_scoring_and_worlds — 分割の採点と真値つき合成世界 — どの物差しがどの壊れ方に盲目か
• 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.
• poc_graph_hierarchy_segmentation — py -3.11 examples/poc_graph_hierarchy_segmentation.py
• poc_segmentation_gauntlet — py -3.11 examples/poc_segmentation_gauntlet.py
table as input)world)world_blobs_touching · world_grains_voronoi · world_parts_with_shadow · 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.