bin_threshold — 2D `segmentation` op

• Data kinds: image → region

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

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

Usage

> This operator's description has not been translated yet. The original text follows as it is.

大津の判別分析法（Otsu's method）による自動しきい値二値化。`binary_threshold/auto_threshold と同じ _sh_threshold の otsu` 分岐を共有し、a, b は未使用。しきい値より明るい画素を前景(1)とする。skimage が無い環境では画像平均値をしきい値とするフォールバックになる。

HALCON の `bin_threshold`（複数の自動しきい値決定アルゴリズムから選んで二値化する演算、既定は最大分離度=大津法相当）に相当する近似で、大津法のみをサポートし他のアルゴリズム選択肢は無い。

Detailed usage guide

• gallery2d_segmentation 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_segmentation — py -3.11 examples/gallery2d_segmentation.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 (`segmentation`)

threshold · otsu · canny · adaptive_gauss_thresh · sk_otsu · sk_li · sk_yen · sk_sauvola

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

bin_threshold — 2D segmentation op