local_threshold — 2D segmentation op

• Data kinds: image → region

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

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

Usage

Thresholding via local Gaussian smoothing plus an offset (the threshold is `gaussian_filter(x, 1+3*a) plus offset (b-0.5)*0.3). A similar idea to dyn_threshold, but differs in that the local mean is computed with a Gaussian instead of a rectangular window. Corresponds to HALCON's local_threshold` (Segment an image using local thresholding).

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

`a が平滑化のシグマを、b` がオフセットを振る。両方が使われる。

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).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.