features op• Data kinds: volume → feature
• Call: fullseye.apply(img, "vol_count", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*The figure is the actual output on a synthetic 128×128 input. Left: input, right: output. Point clouds are drawn as a top-down scatter (brightness = z), 1-D series as a line plot, volumes as the maximum-intensity projection along z, videos as the middle frame, complex images as magnitude; return values that are not pictures are shown as the values themselves.*
*Knob a does not change the output (measured: identical at 0.1 / 0.5 / 0.9).*
*Knob b does not change the output (measured: identical at 0.1 / 0.5 / 0.9).*
Stages (the ops that come before → this op, left to right):
▸ vol_count: stages (docs site)
A feature that returns the number of connected components (blobs) in a 3D volume. No corresponding HALCON op is specified.
a, b are unused. The threshold is fixed at 0.5 (binarise with v > 0.5, then scipy.ndimage.label). Connectivity is scipy's default structuring element (equivalent to the 6-neighbourhood touching by faces), and voxels touching only by edges or vertices (connected only in the 26-neighbourhood) are counted as separate blobs — in contrast to the 2-D _blob_count, which explicitly specifies 8-connectivity for HALCON parity, this one leaves the default and does not specify connectivity explicitly.
• 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.
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.
img_to_volume 0.50 0.50 vol_count 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_features — py -3.11 examples/gallery2d_features.py
feature as input)features)effective_bit_depth · blob_count · area_frac · count_contours · total_length · 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.