measure1d op• Data kinds: image → contour
• Call: fullseye.apply(img, "m1_fuzzy_measure_pos", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: fuzzy_measure_pos (the HALCON reference is a useful guide to its meaning and parameters)
Sieves edges along a caliper line through the centre by a fuzzy membership score and returns them (equivalent to HALCON `fuzzy_measure_pos`: detects straight edges perpendicular to a rectangle/arc using fuzzy judgement).
> The detailed description below is the original text — the summary and the headings are translated.
エッジ検出は `m1_measure_pos と同じ。各エッジの振幅を(amp - lo) / (gmax - lo)（lo = 0.05*gmax）で [0,1] のファジィスコアに写像し、b（0〜1）以上のものだけを残す（0/1 のハードしきい値ではなく振幅に応じた連続的な信頼度で選別する点が measure_pos と違う）。a は線の向き（theta = a*pi`）。戻り値は CONTOUR、座標単位はピクセル。
• gallery2d_contour_measure family guide
• 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
• 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.
• gallery2d_contour_measure — py -3.11 examples/gallery2d_contour_measure.py
contour as input)identity · select_contours · smooth_contours · fit_line_contours · contours_to_region · count_contours · total_length · select_contours_xld
measure1d)m1_measure_projection · m1_measure_pos · m1_measure_thresh · m1_measure_pairs
*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.