edges op• Data kinds: image → image
• Call: fullseye.apply(img, "cv_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 (OpenCV implementation). Based on the same Harris concept as sk_corner_harris, but the OpenCV version computes it with fixed parameters such as the block size for gradient computation and smoothing.
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の points_harris に相当(近似)。実装は `cv2.cornerHarris(v, blockSize=2, ksize=3, k=0.04) を signed01 で [0,1]` へ写した値 —— blockSize(近傍サイズ)・ksize(Sobel 開口)・k(Harris の自由パラメータ)はすべて固定。a, b は未使用 —— skimage 版と違いスケールを振る仕組みが無い、素の Harris 応答。
• 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.
cv_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.