erosion_golay — 2D `region` op

• Data kinds: region → region

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

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

Usage

Binary erosion using a circular structuring element (disk, radius `_rad(a)`=1-4). b is unused.

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

HALCON の `erosion_golay`（Golay アルファベット——形態学的画像解析の古典的な 14 種の定型構造要素集合——から選んだ要素で収縮する演算）とは異なり、この実装は Golay アルファベットの特定要素ではなく単純な円板構造要素で近似する。

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).*

erosion_golay — 2D region op