contours_to_region — 2D contour op

Data kinds: contourregion

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)

contours_to_region: 入力 → 出力

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*

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 1〜31 + 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.

Try it in Studio

The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.

threshold 0.50 0.50
sk_find_contours 0.50 0.50
contours_to_region 0.50 0.50

▸ Load this pipeline  ·  Load & run

Runnable examples (verified samples that actually call this op)

gallery2d_contour_measurepy -3.11 examples/gallery2d_contour_measure.py

quickstartpy -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).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.