edges_color_sub_pix — 2D `contour` op

• Data kinds: color → contour

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

• HALCON equivalent: edges_color_sub_pix (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.

カラーエッジ上の連結成分を輪郭（contour）として取り出す。HALCON の

`edges_color_sub_pix`（Deriche/Shen/Canny でサブピクセル精度のカラー

エッジを抽出する）に相当するとされるが、**実装はサブピクセル精度では

ない**——`_edges_color` の勾配強度をしきい値二値化し、8 連結の

ラベリング（`scipy.ndimage.label`）でつないだ画素座標をそのまま

輪郭点として返す（座標はすべて整数格子上）。3 画素未満の成分は捨てる。

a はしきい値 `0.15 + 0.5 * a` を振る（大きいほど輪郭が減る）。b は

未使用。戻り値は `{"shape":..., "cs": [輪郭ごとの (N,2) 座標配列]}`。

Detailed usage guide

• gallery2d_contour_measure 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_contour_measure — py -3.11 examples/gallery2d_contour_measure.py

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

identity · select_contours · smooth_contours · fit_line_contours · contours_to_region · count_contours · total_length · select_contours_xld

Same category (`contour`)

select_contours · smooth_contours · fit_line_contours · contours_to_region · sk_find_contours · edges_sub_pix · lines_gauss · select_contours_xld

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

edges_color_sub_pix — 2D contour op