seg_variation_of_information — EMPROOF score op

• Data kinds: labels2d × labels2d → table

• Call: import fullseye as fs; fs.ledger.seg_variation_of_information(a, b, ignore_label=None) (to call the implementation directly, import segcompare; segcompare.seg_variation_of_information(a, b, ignore_label=None); from the registry, opsemproof.get("seg_variation_of_information"))

Usage

Variation of information between truth `a and candidate b`, in bits.

Returns `voi = split + merge, with split = H(b|a)` (how much the candidate

cuts true objects apart) and `merge = H(a|b)` (how much it glues different true objects

together), plus the entropies `h_a, h_b and the mutual information mi`.

Raises `ValueError: as :func:seg_contingency`.

Detailed usage guide

• emproof 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)

• poc_em_split_merge_score — py -3.11 examples/poc_em_split_merge_score.py

• poc_em_wiring_errors — py -3.11 examples/poc_em_wiring_errors.py

• poc_skeleton_run_length_vs_voi — py -3.11 examples/poc_skeleton_run_length_vs_voi.py

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

seg_synapse_partners · seg_wiring_variation · seg_synapse_nri · seg_wiring_exposure

Same category (score)

seg_contingency · seg_rand

*Provenance: segcompare.py — EMPROOF 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.