remove_small — 2D `region` op

• Data kinds: region → region

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

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

Usage

Removes small connected regions based on area. Equivalent to HALCON's `select_shape` (Choose regions with the aid of shape features.).

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

`a が除去のしきい値（画素数）を、画像全体の画素数に対する割合 0.01〜0.16（(0.01+0.15a) * 画素数）として振る。b は未使用。しきい値以上の面積を持つ連結成分だけを残す。連結性は scipy label` の既定（4連結）。

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

• quickstart — py -3.11 examples/quickstart.py

Ops the type connects to (they accept `region` as input)

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · invert_region

Same category (`region`)

reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · 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).*

remove_small — 2D region op