reg_dilate — 2D `region` op

• Data kinds: region → region

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

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

Usage

Binary dilation of a region. Equivalent to HALCON's `dilation_circle` (Dilate a region with a circular structuring element.).

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

`a が反復回数を 1〜4（_it(a)）に振る。b` は未使用。構造要素は scipy 既定の十字形（円形ではない、近似）。

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_open · reg_close · fill_holes · select_largest · remove_small · invert_region

Same category (`region`)

reg_erode · reg_open · reg_close · fill_holes · select_largest · remove_small · invert_region · dist_transform

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

reg_dilate — 2D region op