sk_thin — 2D region op

• Data kinds: region → region

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

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

Usage

Morphological thinning. Similar to sk_skeleton in reducing to one-pixel width, but uses a different algorithm based on the hit-or-miss transform, and tends to produce fewer skeleton branches (spurs).

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

HALCON の thinning(Remove the result of a hit-or-miss operation from a region.)に相当。実装は `morphology.thin(binm(v))`。a, b は未使用。sk_skeleton / sk_medial と 3 通りの細線化を並べ、対象形状に合うものを選べるようにしてある。

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).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.