edges_image — 2D `segmentation` op

• Data kinds: image → region

• Call: fullseye.apply(img, "edges_image", 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

Region extraction via Canny edge detection (`skimage.feature.canny, sigma 0.5+2*a). A widely used edge detection method that combines multiple stages: Gaussian smoothing -> gradient -> non-maximum suppression -> hysteresis thresholding. Corresponds to HALCON's edges_image` (Detect edges using Deriche, Lanser, Shen, or Canny filters) -- HALCON allows choosing among Deriche/Lanser/Shen/Canny, but here Canny is fixed.

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

`a がガウス平滑化のシグマを振る。b` は未使用(内部のヒステリシス

しきい値は skimage の既定値)。skimage が無い環境ではこの分岐は呼べない。

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).*

edges_image — 2D segmentation op