sk_medial — 2D `region` op

• Data kinds: region → region

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

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

Usage

Medial axis transform. A different algorithm from sk_skeleton that finds the skeleton by extracting the ridge lines of the distance transform, tending to produce a skeleton that retains distance-from-contour information.

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

HALCON の skeleton に相当(近似)。実装は `morphology.medial_axis(binm(v), rng=0) —— rng=0 はタイ(同点)の崩し方を決める乱数シードを固定し、毎回同じ結果になるようにしている。a, b は未使用。distance 出力(return_distance`)は使っておらず、骨格の真偽値マスクのみを返す。

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).*

sk_medial — 2D region op