statistical_region_merging — SEGMENTATION `graph` op

• Data kinds: image2d → table

• Call: import fullseye as fs; fs.ledger.statistical_region_merging(image, *, q: 'float' = 32.0, g: 'int' = 256, value_range=(0.0, 1.0), connectivity: 'int' = 4) -> 'Dict[str, object]' (to call the implementation directly, import seggraph; seggraph.statistical_region_merging(image, *, q: 'float' = 32.0, g: 'int' = 256, value_range=(0.0, 1.0), connectivity: 'int' = 4) -> 'Dict[str, object]'; from the registry, opssegmentation.get("statistical_region_merging"))

Usage

Statistical region merging SRM (Nock–Nielsen 2004): processes pairs of neighbouring pixels in ascending order of |I_p − I_q| and merges them when the predicate P(R, R') holds (statistical_region_merging).

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

画素の値は `value_range` を [0, g − 1] に線形に写して使う(範囲の外の値は ValueError)。

P(R, R') ⇔ |R̄ − R̄'| ≤ √(b²(R) + b²(R'))、b(R) = g √(ln(|R_|R||/δ) / (2Q|R|))、ln|R_l| = min(l, g) ln(l + 1)、

δ = 1/(6|I|²)(述語の係数は 要確認、モジュールの説明参照)。Q(`q`)が大きいほど b が小さく、併合を渋る(細かい)。

返す: `labels(1..k)、n_regions、means(領域ごとの平均、元の値の尺度)、n_merges、q`。

Detailed usage guide

• halcon_segmentation family guide

Background guides (the physics and conventions behind this op)

• graph_hierarchy_and_thresholds — グラフ・階層・閾値の定理でつくる分割 — 何が厳密で、どこで割れ方が倒れるか

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_graph_hierarchy_segmentation — py -3.11 examples/poc_graph_hierarchy_segmentation.py

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

class_ndim_norm

Same category (`graph`)

graph_cut_binary · alpha_expansion · max_tree · area_opening_attr · quasi_flat_zones · alpha_tree · hierarchical_watershed · ultrametric_contour_map

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

statistical_region_merging — SEGMENTATION graph op