m1_measure_pairs — 2D `measure1d` op

• Data kinds: image → feature

• Call: fullseye.apply(img, "m1_measure_pairs", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

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

m1_measure_pairs: 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

Counts rising-to-falling edge pairs (the two ends of a bright object) along a caliper line through the centre (equivalent to HALCON `measure_pairs`: extracts pairs of straight edges perpendicular to a rectangle/arc).

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

`a は線の向き（theta = a*pi）。エッジ検出は m1_measure_posと同じ（勾配ピークのサブピクセル検出）で、b`（0〜1）は最大振幅に対する相対しきい値。しきい値を超えたエッジを順に走査し、極性がrising→falling と並ぶ組を 1 対として数える（feature、整数値）。エッジが 2 本未満なら 0.0。

Detailed usage guide

• gallery2d_contour_measure family guide

Background guides (the physics and conventions behind this op)

• measurement_uncertainty — 計測の不確かさと校正の知識 — 「測れている」を主張するために

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.

m1_measure_pairs 0.50 0.50

▸ Load this pipeline · Load & run

Runnable examples (verified samples that actually call this op)

• gallery2d_contour_measure — py -3.11 examples/gallery2d_contour_measure.py

• poc_dimensional_inspection — py -3.11 examples/poc_dimensional_inspection.py

Ops the type connects to (they accept `feature` as input)

identity

Same category (`measure1d`)

m1_measure_projection · m1_measure_pos · m1_measure_thresh · m1_fuzzy_measure_pos

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

m1_measure_pairs — 2D measure1d op