segmentation op• Data kinds: image → region
• Call: fullseye.apply(img, "regiongrowing", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: regiongrowing (the HALCON reference is a useful guide to its meaning and parameters)
> This operator's description has not been translated yet. The original text follows as it is.
領域成長の簡易近似。まず高いしきい値(`x > 0.5+0.3*a`)でシード
(種)領域を作り、それを `1+4*b` 回だけ二値膨張して広げる ―― 真の領域成長
(隣接画素との類似度を逐次判定しながら広げる)ではなく、しきい値+膨張という
軽量な代用になっている(近似の限界)。HALCON の `regiongrowing`
(Segment an image using region growing.)の代役。
`a がシードのしきい値を、b` が膨張の反復回数を振る。両方が使われる。
• 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.
• 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.