sg_felzenszwalb — 2D segment op

• Data kinds: image → region

• Call: fullseye.apply(img, "sg_felzenszwalb", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

Returns the boundaries of Felzenszwalb's graph-based region segmentation (`skimage.segmentation.felzenszwalb`; no corresponding HALCON operator).

> The detailed description below is the original text — the summary and the headings are translated.

`a はクラスタの粗さを決める scale を 40〜540 に振り（大きいほど大きな塊にまとまる）、b は最小成分サイズを 15〜100 に振る（min_size = round(15+b*85)`）。戻り値はラベル画像の外側境界（region）で、真の物体輪郭に沿いやすい。

Detailed usage guide

• gallery2d_segmentation family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• gallery2d_segmentation — py -3.11 examples/gallery2d_segmentation.py

Ops the type connects to (they accept region as input)

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

Same category (segment)

sg_slic_superpixels · sg_gmm_segment · sg_kmeans_intensity · sg_region_growing_seeded · sg_normalized_cut_2 · sg_watershed_gradient

*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.