edges op• Data kinds: image → image
• Call: fullseye.apply(img, "log", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: laplace_of_gauss (the HALCON reference is a useful guide to its meaning and parameters)
Laplacian of Gaussian (LoG) filter. Equivalent to HALCON's `laplace_of_gauss` (LoG-Operator (Laplace of Gaussian).).
> The detailed description below is the original text — the summary and the headings are translated.
`a がガウシアンの標準偏差 σ を 0.5〜3.0 に振る。b は未使用。scipy.ndimage.gaussian_laplace の絶対値を _norm` で正規化する（符号を捨てているため、暗背景上の明斑点と明背景上の暗斑点を区別できない）。ブロブ（斑点状構造）検出やエッジ検出に使う。
• 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.
• gallery2d_edges — py -3.11 examples/gallery2d_edges.py
• photon_timeresolved — py -3.11 examples/photon_timeresolved.py
• signal_funct1d — py -3.11 examples/signal_funct1d.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 · 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.