segmentation op• Data kinds: image → region
• Call: fullseye.apply(img, "nonmax_suppression_amp", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: nonmax_suppression_amp (the HALCON reference is a useful guide to its meaning and parameters)
*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).*
Non-maximum suppression that extracts local maxima. Only pixels that match the maximum value in their window and exceed the threshold `0.3+0.4b` are kept as foreground. a sets the window size to 3/5/7/9.
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の `nonmax_suppression_amp`（エッジ振幅画像上で法線方向に非極大点を抑制し、稜線を 1 画素幅に絞る演算）とは異なり、この実装は方向を考慮しない単純な局所最大値判定で、エッジ法線方向のサブピクセル抑制は行わない近似。
• gallery2d_segmentation family guide
• 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.
nonmax_suppression_amp 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_segmentation — py -3.11 examples/gallery2d_segmentation.py
region as input)identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small
segmentation)threshold · otsu · canny · adaptive_gauss_thresh · sk_otsu · sk_li · sk_yen · sk_sauvola
*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.