junctions_skeleton — 2D `region` op

• Data kinds: region → region

• Call: fullseye.apply(img, "junctions_skeleton", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

• HALCON equivalent: junctions_skeleton (the HALCON reference is a useful guide to its meaning and parameters)

Usage

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

骨格化した領域のうち、3x3 近傍に 3 つ以上の骨格画素を持つ画素(分岐点・

交差点)だけを残す。骨格の端点(`pruning` が削る対象)ではなく、枝分かれ

する結節点を検出する。HALCON の `junctions_skeleton`（Find junctions and

end points in a skeleton.）に相当(HALCON は端点も同時に返すが、ここでは

分岐点のみを検出する近似)。

`a, b` は未使用。

Detailed usage guide

• gallery2d_region 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)

• gallery2d_region — py -3.11 examples/gallery2d_region.py

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

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

Same category (`region`)

reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small · invert_region

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

junctions_skeleton — 2D region op