h_threshold — 2D segmentation op

Data kinds: imageregion

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

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

h_threshold: 入力 → 出力

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*

Usage

Band thresholding (pixels satisfying `a < x < a+0.5+0.5*b are treated as foreground). HALCON's threshold (Segment an image using global threshold) is an operator that directly specifies Min/Max values, but this substitute is a simplification roughly equivalent to a single parameter, deriving the lower bound from a and the band width from b. The registered name becomes h_threshold because threshold is treated as a reserved-word-like name on the Python side (the spec's halcon field remains threshold`).

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

`a が下限しきい値(0〜1)を、b` が帯域幅(0〜0.5 の追加分)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.

Try it in Studio

The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.

h_threshold 0.50 0.50

▸ Load this pipeline  ·  Load & run

Runnable examples (verified samples that actually call this op)

gallery2d_segmentationpy -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.