edges op• Data kinds: image → image
• Call: fullseye.apply(img, "roberts_mag", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: roberts (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).*
Gradient magnitude via the Roberts cross gradient (edge detection). Equivalent to HALCON's `roberts` (Detect edges using the Roberts filter.).
> The detailed description below is the original text — the summary and the headings are translated.
2×2 の対角差分(`v - shift(-1,-1) と shift(0,-1) - shift(-1,0))のユークリッドノルムを _norm で正規化する。a, b は未使用。カーネルが小さい(2×2)ためノイズに敏感だが応答の局在性は高い。境界は _shift_edge` によりレプリケート(折り返しなし)。
• gallery2d_edges 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.
roberts_mag 0.40 0.50
▸ Load this pipeline · Load & run
• gallery2d_edges — py -3.11 examples/gallery2d_edges.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
edges)sobel_mag · prewitt_mag · dog · grad_dir · log · corner_response · sk_scharr · sk_farid
*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.