segmentation op• Data kinds: image → region
• Call: fullseye.apply(img, "cv_canny", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: edges_image (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).*
Canny edge detection (region variant, OpenCV implementation). Same algorithm as sk_canny, but the OpenCV version's API takes two thresholds directly rather than the sigma of Gaussian smoothing.
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の edges_image に相当。実装は `cv2.Canny(_u8(v), threshold1=int(50+100*a), threshold2=int(100+150*b))` の結果を真偽値化したもの —— a は下側しきい値(弱いエッジの採用ライン)を 50〜150 に、b は上側しきい値(強いエッジの確定ライン)を 100〜250 に振る。a を大きく b を小さく振ると下側が上側を上回ることがあり、その場合の挙動は OpenCV の実装依存になる点に注意。
• gallery2d_segmentation 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.
cv_canny 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_segmentation — py -3.11 examples/gallery2d_segmentation.py
region as input)identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small
segmentation)threshold · otsu · canny · adaptive_gauss_thresh · sk_otsu · sk_li · sk_yen · sk_sauvola
*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.