contour_point_num_xld — 2D `contour` op

• Data kinds: contour → feature

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

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

contour_point_num_xld: 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

Selects the contour with the most points among a group of XLD contours and returns its vertex count normalized by 500 into [0,1] (saturating at 1.0 for 500 or more points). a and b are unused. Returns 0 if there are no contours.

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

HALCON の `contour_point_num_xld`（XLD 輪郭に含まれる点の実数をそのまま返す演算）とは異なり、この実装は点数そのものではなく 500 点でスケーリングした比率を返す近似（feature sort が [0,1] 想定の値を運ぶ契約のため）。

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
contour_point_num_xld 0.50 0.50

▸ Load this pipeline · Load & run

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 `feature` as input)

identity

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).*

contour_point_num_xld — 2D contour op