separate_touching — SEGMENTATION `watershed3d` op

• Data kinds: voxel → labels

• Call: import fullseye as fs; fs.ledger.separate_touching(binary, min_distance: 'float' = 5.0, method: 'str' = 'auto') -> 'np.ndarray' (to call the implementation directly, import watershed3d; watershed3d.separate_touching(binary, min_distance: 'float' = 5.0, method: 'str' = 'auto') -> 'np.ndarray'; from the registry, opssegmentation.get("separate_touching"))

Usage

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

genuinely-new (B): 接触物体を 1 呼び出しで自動分離する常用ラッパ。

「複数物体が接触して 1 連結成分に融合している」典型ケースを、距離変換→極大 NMS シード化→

分水嶺という定型パイプラインを畳んで 1 コールで割る(公開 API では 3 op を手で繋ぐ必要が

あるところを常用ケース向けに 1 関数化)。中身は `watershed_vol(..., markers=None)`。

Parameters

----------

binary : array_like

bool または 0/1 の 3D 前景ボリューム。

min_distance : float

分離シードの最小間隔(voxel)。想定物体半径程度が目安。

method : {"auto", "skimage", "scipy"}

バックエンド選択。

Returns

-------

labels : ndarray(int32)

binary と同形状。背景 0、分離された各物体に 1..k のラベル。

Detailed usage guide

• halcon_segmentation 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)

• watershed3d_tour — py -3.11 examples/watershed3d_tour.py

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

—

Same category (`watershed3d`)

distance_peaks · watershed_vol

*Provenance: watershed3d.py — SEGMENTATION operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

separate_touching — SEGMENTATION watershed3d op