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)
*The figure is the actual output on a synthetic 128×128 input. Left: input, right: output. Point clouds are drawn as a top-down scatter (brightness = z), 1-D series as a line plot, volumes as the maximum-intensity projection along z, videos as the middle frame, complex images as magnitude; return values that are not pictures are shown as the values themselves.*
Sweeping knob a (0.1 / 0.5 / 0.9, the other knob at its default):
▸ m1_measure_projection: knob a sweep (docs site)
Sweeping knob b (0.1 / 0.5 / 0.9, the other knob at its default):
▸ m1_measure_projection: knob b sweep (docs site)
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 caliper line is drawn from edge to edge of the image, and a sweeps its orientation theta = a*pi (0 = horizontal, 0.25 = 45-degree diagonal descending to the right, 0.5 = vertical, 1 = horizontal in the reverse direction). b is the perpendicular offset that shifts the line along its normal (0 to 1; 0.5 passes through the image centre). A band 1px wide along the line is sampled and averaged (a true "projection"), and that mean luminance ([0,1]) is returned as the feature. If the line does not hit the image or the image is too small, 0.0 is returned.
• gallery2d_contour_measure family guide
• measurement_uncertainty — Measurement uncertainty and calibration — what it takes to claim you are measuring
• 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.
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
• gallery2d_contour_measure — py -3.11 examples/gallery2d_contour_measure.py
feature as input)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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.