sk_find_boundaries — 2D `region` op

• Data kinds: region → region

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

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

Usage

Region boundary extraction. In a label image (here, a boolean region), returns a boundary mask that is True only at pixels where two different labels (foreground/background) meet.

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

HALCON の boundary(Reduce a region to its boundary.)に相当。実装は `segmentation.find_boundaries(binm(v))`。a, b は未使用 —— connectivity は既定の 1、mode は既定の 'thick'(境界の両側 1 画素ずつを含む太めの境界)。

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_find_boundaries — 2D region op