contour op• Data kinds: contour → region
• Call: fullseye.apply(img, "gen_region_contour_xld", 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)
Rasterizes a contour (point sequence) onto the pixel grid, then thickens it with `1+2*a rounds of binary dilation to produce a connected region mask (a reinforcement because, when left as a thin line, the region {0,1} contract can make the "line appear disconnected"). 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 が膨張の反復回数(=線の太さ)を振る。b` は未使用。
• 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
region as input)identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small
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.