m1_measure_projection — 2D `measure1d` op

• Data kinds: image → feature

• Call: fullseye.apply(img, "m1_measure_projection", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

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

m1_measure_projection: 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

Places a measurement caliper line (straight line) on the image and returns the mean of the brightness profile averaged in the perpendicular direction (equivalent to HALCON `measure_projection`: extracts a 1-D projection perpendicular to a rectangle/arc).

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

キャリパー線は画像の端から端まで引かれ、`a で向きを theta = a*piに振る（0＝横方向、0.5＝斜め45度、1＝横方向の逆向き）。b` は線を法線方向にずらす垂直オフセット（0〜1、0.5 が画像中心を通る）。線に沿って幅 1px 分の帯を平均サンプリングし（真の「射影」）、その平均輝度（[0,1]）を feature として返す。線が画像に掛からない/画像が小さすぎる場合は 0.0 を返す。

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_projection 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

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

identity

Same category (`measure1d`)

m1_measure_pos · m1_measure_thresh · m1_measure_pairs · 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_projection — 2D measure1d op