dots_image — 2D `edges` op

• Data kinds: image → image

• Call: fullseye.apply(img, "dots_image", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

• HALCON equivalent: dots_image (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.

ガウシアンラプラシアン（Laplacian of Gaussian, LoG）フィルタ。σ = 0.5+2.5a のガウス核でラプラシアンを取り、signed01（符号つき値を [0,1]、0.5=応答ゼロ）で正規化する。b は未使用。円形の点状パターン（ドット）はガウシアンの等方性からくる強い LoG 応答を示すため、円形ドットの強調に使われる。

HALCON の `dots_image`（画像中の円形ドットを強調する演算）に相当する近似で、専用のドット検出カーネルではなく一般的な LoG フィルタで代用している。

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).*

dots_image — 2D edges op