sk_scharr — 2D `edges` op

• Data kinds: image → image

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

• HALCON equivalent: edges_image (the HALCON reference is a useful guide to its meaning and parameters)

Usage

Scharr gradient magnitude. Directly calls skimage's `filters.scharr`, returning the gradient magnitude obtained by combining the responses of the horizontal and vertical Scharr kernels (3x3).

> The detailed description below is the original text — the summary and the headings are translated.

HALCON の edges_image(Extract edges using Deriche, Lanser, Shen, or Canny filters.)に相当(近似。アルゴリズムは異なる)。Sobel より回転対称性(方向によらず応答が均一)が良いとされるカーネル。a, b は未使用 —— スケールや閾値の調整点が無く、常に固定カーネルで一発計算する軽量なエッジ検出。

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_farid

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

sk_scharr — 2D edges op