edges op• Data kinds: image → image
• Call: fullseye.apply(img, "sk_corner_harris", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: points_harris (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).*
Harris corner response (skimage implementation). A classic corner detector that computes a signed score from the structure tensor of the gradient, distinguishing flat regions, edges, and corners.
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の points_harris(Detect points of interest using the Harris operator.)に相当(近似。座標点ではなく応答画像を返す)。実装は `feature.corner_harris(v, sigma=0.5+2.0*a) を signed01 で [0,1]` へ写した値 —— a は微分に使うガウス σ を 0.5〜2.5 に振る。b は未使用。Harris の自由パラメータ k は skimage の既定値(0.05)のまま固定。OpenCV 版のcv_corner_harris とはパラメータの振り方が異なるので同一結果にはならない。
• 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.
sk_corner_harris 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 · roberts_mag · dog · grad_dir · log · corner_response · sk_scharr
*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.