barcode op• Data kinds: image → feature
• Call: fullseye.apply(img, "decode_barcode", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: find_bar_code (the HALCON reference is a useful guide to its meaning and parameters)
A simplified barcode-like feature that counts the number of light/dark transitions along the central scan line. This resembles but is not the same as HALCON's `find_bar_code` (Detect and read bar code symbols in an image.) - it performs no symbology determination or data decoding whatsoever (it only counts the "number" of bars).
> The detailed description below is the original text — the summary and the headings are translated.
`a が「暗い」とみなすしきい値を 0.3〜0.7 に振る。b は未使用。画像中央の行（v.shape[0]//2）だけを見て、v < しきい値` の画素を 1 とした列に対し、0→1 に立ち上がる回数（暗いバーの本数）を数える。実際のバーコードのデータ（数字・文字列）は得られない。
• gallery2d_physics_alife_3d 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_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py
feature as input)barcode)—
*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.