laplace_of_gauss — 2D `edges` op

• Data kinds: image → image

• Call: fullseye.apply(img, "laplace_of_gauss", 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)

Usage

> This operator's description has not been translated yet. The original text follows as it is.

LoG(Laplacian of Gaussian、ガウス平滑化後にラプラシアンを掛けた

二階微分エッジ検出)。`signed01` により符号つき応答を [0,1] へ写像し

(0.5 がゼロ交差に相当)、ゼロ交差検出やブロブ検出の下地に使える。HALCON の

`laplace_of_gauss`（LoG-Operator (Laplace of Gaussian).）に相当。

`a がガウス核のシグマを 0.5〜3.0 の範囲で振る。b` は未使用。値が 0.5

から離れるほど強いエッジ/ブロブ応答であることを示す。

Detailed usage guide

• gallery2d_edges family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• gallery2d_edges — py -3.11 examples/gallery2d_edges.py

Ops the type connects to (they accept `image` as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`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).*

laplace_of_gauss — 2D edges op