region op• Data kinds: region → region
• Call: fullseye.apply(img, "junctions_skeleton", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: junctions_skeleton (the HALCON reference is a useful guide to its meaning and parameters)
From a skeletonized region, keeps only pixels that have 3 or more skeleton pixels in their 3x3 neighborhood (branch points / junctions). Detects branching nodes, not skeleton endpoints (the targets that `pruning removes). Corresponds to HALCON's junctions_skeleton` (Find junctions and end points in a skeleton.) -- an approximation that detects only junctions, whereas HALCON also returns endpoints at the same time.
> The detailed description below is the original text — the summary and the headings are translated.
`a, b` は未使用。
• 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.
• 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.