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)
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）。
• gallery2d_contour_measure family guide
• 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.
• gallery2d_contour_measure — py -3.11 examples/gallery2d_contour_measure.py
feature as input)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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.