seg_inject_split — EMPROOF `inject` op

• Data kinds: labels2d → labels2d

• Call: import fullseye as fs; fs.ledger.seg_inject_split(labels, n: 'int' = 1, seed: 'int' = 0, min_area: 'int' = 4000, axis: 'str' = 'row', ignore_zero: 'bool' = True) -> 'np.ndarray' (to call the implementation directly, import emproof; emproof.seg_inject_split(labels, n: 'int' = 1, seed: 'int' = 0, min_area: 'int' = 4000, axis: 'str' = 'row', ignore_zero: 'bool' = True) -> 'np.ndarray'; from the registry, opsemproof.get("seg_inject_split"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

評価用に分断を仕込む: 大きなラベルを `n 個選び、画素の中央値の行(axis="row"`)か

列(`"col"`)で 2 つに切って、片側に新しい id(既存最大 + 1, +2, …)を付ける。

切り口は直線 = 膜の無い境界で、`seg_boundary_membrane_gap` が拾うべき形。両側が

`min_area / 4 px 以上残るラベルだけ候補にする。n` 個取れなければ ValueError。

仕込んだ対は `seg_label_changes(labels, out)["split_before"]` で取り出せる。

>>> cut = seg_inject_split(labels, n=1, seed=0, axis="row")

Detailed usage guide

• emproof family guide

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_em_second_opinion — py -3.11 examples/poc_em_second_opinion.py

Ops the type connects to (they accept `labels2d` as input)

seg_membrane_chord_score · seg_boundary_membrane_gap · seg_inject_merge · seg_label_changes

Same category (`inject`)

seg_inject_merge · seg_label_changes

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

seg_inject_split — EMPROOF inject op