select_contours — 2D `contour` op

• Data kinds: contour → contour

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

Selects XLD contours by filtering on point count (length). Equivalent to HALCON's `select_contours_xld` (Select XLD contours according to several features.).

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

`a が残す最小点数のしきい値を 3〜43（3 + int(40a)）に振る。b` は未使用。輪郭を構成する点の数（≒長さ）がしきい値未満のものを丸ごと捨てる。HALCON 版は点数以外にも円形度・凸性などの特徴で選べるが、この実装は点数のみ。

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

• quickstart — py -3.11 examples/quickstart.py

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

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

Same category (`contour`)

smooth_contours · fit_line_contours · contours_to_region · sk_find_contours · edges_sub_pix · lines_gauss · select_contours_xld · 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 — 2D contour op