xsk3_corner_fast — 2D `edges` op

• Data kinds: image → image

• Call: fullseye.apply(img, "xsk3_corner_fast", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

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

FAST コーナー検出(skimage `feature.corner_fast`)。中心画素の周囲の円周上の画素と比較し、連続して明るい/暗い画素が一定数以上続く場所をコーナーとして検出する高速な手法。結果は最大絶対値で正規化した応答マップ。

`a は連続画素数のしきい値 n(9+int(a*3) で 9〜12)、b は輝度差のしきい値(0.05+0.2*b` で 0.05〜0.25)を振る。

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).*

xsk3_corner_fast — 2D edges op