morphology op• Data kinds: image → image
• Call: fullseye.apply(img, "xsk2_reconstruction", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*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).*
Morphological reconstruction (reconstruction by dilation). Calls `skimage.morphology.reconstruction` with method="dilation".
> The detailed description below is the original text — the summary and the headings are translated.
シード画像を「元画像から a に応じた深さだけ暗くしたもの」
（`x - (0.05 + 0.25*a)`）として自動生成し、そのシードをマスク画像
（元画像そのもの）まで測地学的に膨張させる。a はシードの深さ（大きい
ほど多くの山が消える）を振る。b は未使用。小さな明るい斑点やノイズを
消しつつ、大きな構造の輪郭は保つ（オープニングより形状の崩れが少ない）。
• gallery2d_morphology 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.
xsk2_reconstruction 0.35 0.50
▸ Load this pipeline · Load & run
• gallery2d_morphology — py -3.11 examples/gallery2d_morphology.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
morphology)gerode · gdilate · gopen · gclose · tophat · bothat · morph_grad · sk_area_opening
*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.