sk_otsu — 2D `segmentation` op

• Data kinds: image → region

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

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

Usage

Global thresholding by Otsu's method (discriminant analysis). Automatically selects the threshold that maximizes between-class variance, splitting the whole image into foreground/background.

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

HALCON の binary_threshold(Segment an image using binary thresholding.)に相当。実装は `v > filters.threshold_otsu(v)` —— a, b は未使用(しきい値は完全自動)。双峰性(2 山)のヒストグラムを持つ画像で最もうまく働き、コントラストが低い/単峰の画像では境界がずれやすい。

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_li · sk_yen · sk_sauvola · sk_niblack

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

sk_otsu — 2D segmentation op