blob_count — 2D features op

Data kinds: regionfeature

Call: fullseye.apply(img, "blob_count", 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)

blob_count: 入力 → 出力

*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).*

Usage

Number of connected components in the region (HALCON count_obj).

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

2026-08-30: 8 連結既定に修正(HALCON パリティ — connection/計数の既定は

8 連結。従来は scipy.ndimage.label の既定 = 4 連結で、対角接触した 2 画素を

2 個と数えていた: KNOWN_ISSUES #1)。旧 4 連結は connectivity=4 で。

Detailed usage guide

gallery2d_features 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.

Try it in Studio

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
blob_count 0.50 0.50

▸ Load this pipeline  ·  Load & run

Runnable examples (verified samples that actually call this op)

gallery2d_featurespy -3.11 examples/gallery2d_features.py

quickstartpy -3.11 examples/quickstart.py

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

identity

Same category (features)

area_frac · count_contours · total_length · vol_count · sk_euler · sk_entropy_feat · sk_blur_effect · cv_cc_count


*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.