contour op• Data kinds: color → contour
• Call: fullseye.apply(img, "edges_color_sub_pix", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: edges_color_sub_pix (the HALCON reference is a useful guide to its meaning and parameters)
Extracts connected components on color edges as contours. Claimed to correspond to HALCON's `edges_color_sub_pix (extracts subpixel-accurate color edges with Deriche/Shen/Canny), but **the implementation is not subpixel-accurate** -- it thresholds the gradient magnitude from _edges_color into a binary image, connects it with 8-connectivity labeling (scipy.ndimage.label`), and returns the resulting pixel coordinates directly as contour points (all coordinates lie on the integer grid). Components with fewer than 3 pixels are discarded.
> The detailed description below is the original text — the summary and the headings are translated.
a はしきい値 `0.15 + 0.5 * a` を振る（大きいほど輪郭が減る）。b は
未使用。戻り値は `{"shape":..., "cs": [輪郭ごとの (N,2) 座標配列]}`。
• 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
contour as input)identity · select_contours · smooth_contours · fit_line_contours · contours_to_region · count_contours · total_length · select_contours_xld
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.