contours_to_region — 2D `contour` op

• Data kinds: contour → region

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

• HALCON equivalent: gen_region_contour_xld (the HALCON reference is a useful guide to its meaning and parameters)

Usage

Rasterizes XLD contours and converts them into a region. Equivalent to HALCON's `gen_region_contour_xld` (Create a region from an XLD contour.).

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

`a が仕上げに掛ける膨張の反復回数を 1〜3（1 + int(2a)）に振る。b` は未使用。輪郭点の実数座標を最近傍の画素へ丸めてマスクを立て、点間が疎で線がつながらないぶんを膨張で補う（サブピクセル精度は失われる）。

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 `region` as input)

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

Same category (`contour`)

select_contours · smooth_contours · fit_line_contours · 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).*

contours_to_region — 2D contour op