contour op• Data kinds: color → contour
• Call: fullseye.apply(img, "lines_color", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: lines_color (the HALCON reference is a useful guide to its meaning and parameters)
*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).*
Detects lines (ridges) in a color image. Claimed to correspond to HALCON's `lines_color` (detects color lines and their width), but it does not estimate line width -- it only thresholds the Laplacian-of-Gaussian response on the luminance image into a binary image and returns the connected components as contours; it has no output corresponding to the line width that HALCON returns.
> The detailed description below is the original text — the summary and the headings are translated.
`_rgb_to_gray で輝度化した後、scipy.ndimage.gaussian_laplace` を
シグマ `0.5 + 2.5 * a` でかけて絶対値を最大値正規化し、
`0.2 + 0.4 * b` でしきい値二値化して 8 連結ラベリングする。
a はリッジの太さ（LoG のスケール）、b は検出しきい値を振る。
3 画素未満の成分は捨てる。
• 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.
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.
cfa_to_rgb 0.50 0.50 lines_color 0.50 0.50
▸ Load this pipeline · Load & run
• 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.