xkor_canny — 2D `segmentation` op

• Data kinds: image → region

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

Usage

Edge (binary region) detection by the Canny method. Calls `kornia.filters.canny and adopts the binary edge map (edges`) among its return values (the gradient-magnitude side is discarded).

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

a が低いしきい値（`0.1 + 0.3 * a`）、b が高いしきい値

（`max(低いしきい値 + 1e-3, 0.3 + 0.4 * b)`、低い方を必ず上回るよう

下駄を履かせている）を振る。出力の sort は region。

Detailed usage guide

• gallery2d_segmentation 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_segmentation — py -3.11 examples/gallery2d_segmentation.py

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

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

Same category (`segmentation`)

threshold · otsu · canny · adaptive_gauss_thresh · sk_otsu · sk_li · sk_yen · sk_sauvola

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

xkor_canny — 2D segmentation op