select_contours_xld — 2D `contour` op

• Data kinds: contour → contour

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

• HALCON equivalent: select_contours_xld (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.

既存の輪郭(XLD contour)集合から、点数が閾値(`3+40*a`)以上のものだけ

を残すフィルタ。HALCON の `select_contours_xld`（Select XLD contours

according to several features.）は面積・円形度など任意の特徴で選別できる

汎用演算子だが、この代役では点数(長さの代理指標)による足切り 1 種類に

固定している(近似)。

`a が点数のしきい値を振る。b` は未使用。

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 · smooth_contours_xld

Same category (`contour`)

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

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

select_contours_xld — 2D contour op