thinning_golay — 2D `region` op

• Data kinds: region → region

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

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

thinning_golay: 入力 → 出力

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*

Usage

Thins a region. The implementation uses skimage's `thin` (Guo-Hall-type iterative thinning), repeated until the region is completely 1 pixel wide; a and b are unused.

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

HALCON の `thinning_golay`（Golay アルファベットの構造要素を使ったヒット・オア・ミス変換で 1 ステップぶんだけ細線化する演算、通常は反復して使う）とはアルゴリズムも粒度も異なる近似 —— 単一ステップではなく収束するまで細線化してしまう。

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.

Try it in Studio

The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.

threshold 0.50 0.50
thinning_golay 0.50 0.50

▸ Load this pipeline · Load & run

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).*

thinning_golay — 2D region op