region op• Data kinds: region → region
• Call: fullseye.apply(img, "xcv2_hitmiss", 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).*
Detects the cross pattern 'center is background, up/down/left/right are foreground' using the hit-or-miss transform (`cv2.MORPH_HITMISS`).
> The detailed description below is the original text — the summary and the headings are translated.
固定カーネル `[[0,1,0],[1,-1,1],[0,1,0]]` を使う(1=前景必須、-1=背景必須、
0=不問)。`a, b` は未使用。前景に囲まれた 1 画素の窪み(孤立した背景
画素)を拾うので、細線化後の欠け検出や形状のノッチ検出に使える。入力は
しきい値 0.5 で二値化してから判定する。
• gallery2d_region 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.
threshold 0.50 0.50 xcv2_hitmiss 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_region — py -3.11 examples/gallery2d_region.py
region as input)identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small
region)reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small · invert_region
*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.