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)

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.

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