get_region_contour — 2D `region` op

• Data kinds: region → region

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

• HALCON equivalent: get_region_contour (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.

領域の輪郭（境界線、1 画素幅）を抽出する。領域からその収縮版（1 回の二値収縮）を引くことで外周だけを残す。a, b は未使用。`boundary` seed op と同じ実装。

HALCON の `get_region_contour`（領域の輪郭を取得する演算、本来は XLD 輪郭として座標列を返す）とは出力形式が異なる近似 —— この backend は輪郭を region（画素マスク）として返し、XLD の座標点列にはしていない。

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).*

get_region_contour — 2D region op