features op• Data kinds: region → feature
• Call: fullseye.apply(img, "count_obj", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: count_obj (the HALCON reference is a useful guide to its meaning and parameters)
Counts the number of connected components (`ndimage.label, default 8-connectivity). Uses 8-connectivity, the same default as HALCON's count_obj/connection, so two blobs touching diagonally are counted as one (an example where switching to 4-connectivity causes over-counting -- measured cell counts of 342 vs. 327; see the in-code comment). Equivalent to HALCON's count_obj` (Number of objects in a tuple.).
> The detailed description below is the original text — the summary and the headings are translated.
`a, b` は未使用。
• gallery2d_features 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_features — py -3.11 examples/gallery2d_features.py
feature as input)features)blob_count · area_frac · count_contours · total_length · vol_count · sk_euler · sk_entropy_feat · sk_blur_effect
*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.