r3_eliminate_runs — 2D `region` op

• Data kinds: region → region

• Call: fullseye.apply(img, "r3_eliminate_runs", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

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

Usage

Removes horizontal connected runs (sequences of consecutive foreground pixels) shorter than a specified length (equivalent to HALCON `eliminate_runs`).

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

`a（0〜1）から最小ラン長 min_len = 1 + max(1, round(8*a)) を決め、これに満たない水平ランを除去する（a=0 で min_len=2、すなわち1 画素だけの細い橋を切る）。b` は未使用。走査は行ごと・水平方向のみ（縦方向のランは対象外）。

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).*

r3_eliminate_runs — 2D region op