world_thin_structures — 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_thin_structures(seed: 'int' = 0, *, size=(200, 200), n: 'int' = 6, widths: 'Sequence[float]' = (1.0, 2.0, 3.0), noise: 'float' = 0.03) -> 'Dict[str, object]' (to call the implementation directly, import segworld; segworld.world_thin_structures(seed: 'int' = 0, *, size=(200, 200), n: 'int' = 6, widths: 'Sequence[float]' = (1.0, 2.0, 3.0), noise: 'float' = 0.03) -> 'Dict[str, object]'; from the registry, opssegmentation.get("world_thin_structures"))

Usage

World of 1-3 px lines (straight) and cracks (polylines); ground truth = centrelines and widths (world_thin_structures).

> The detailed description below is the original text — the summary and the headings are translated.

構造 k は直線(2 点)と折れ線(7 点のランダムウォーク)を交互に、幅は `widths` を順に使う。画素は中心線からの距離

≤ w/2 なら構造。画像 = 明るい背景(0.82 + 緩い勾配)に、幅が細いほど薄い暗線(w = 1: 0.5、2: 0.38、3: 0.26)、

縁は距離で反エイリアス、わずかにぼかし + 雑音。

返り値: `image、labels、distance(各画素から最も近い中心線までの距離)、truth = {n、kinds、widths`、

`lengths(Σ 線分)、length_total、polylines((m, 2) [y, x] の列)、areas_stadium`(L w + π w²/4)}。

Detailed usage guide

• halcon_segmentation family guide

Background guides (the physics and conventions behind this op)

• 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

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_active_contours — py -3.11 examples/poc_active_contours.py

• 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_grains_voronoi · world_parts_with_shadow · world_texture_regions · world_gradient_illumination · 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).*

world_thin_structures — SEGMENTATION world op