piv_replace_outliers — PIV `validate` op

• Data kinds: flow2d × mask → flow2d

• Call: import pivops; pivops.piv_replace_outliers(flow, mask, method='median') (or opspiv.get("piv_replace_outliers"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

外れ値を近傍で埋める。`method="nan"` なら埋めずに欠測にする。

埋めた場所と実測を区別できなくなるのが埋め込みの代償なので、

どこを埋めたかは呼ぶ側が `mask` として持っている前提にしてある

(この op は mask を返さない —— 入力として受け取ったものだから)。

Detailed usage guide

• piv_displacement 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)

• piv_flow_from_particles — py -3.11 examples/piv_flow_from_particles.py

Ops the type connects to (they accept `flow2d` as input)

piv_deform_pass · piv_outlier_mask · piv_vorticity · piv_divergence · piv_flow_magnitude · piv_to_velocity · piv_velocity_gradient · piv_q_criterion

Same category (`validate`)

piv_outlier_mask

*Provenance: pivops.py — PIV operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

piv_replace_outliers — PIV validate op