piv_time_statistics — PIV `assess` op

• Data kinds: images → table

• Call: import pivops; pivops.piv_time_statistics(images, window=32, overlap=0.5, **kw) (or opspiv.get("piv_time_statistics"))

Usage

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

画像列 → 時間平均・変動の RMS・レイノルズ応力。

連続する対ごとに変位を測り、時間方向の統計を取る。乱流の記述はこの 3 つが

出発点で、`u'v'` の符号と大きさが運動量輸送そのものになる。

1 対だけでは意味が無い(変動が定義できない)ので 3 枚以上を要求する。

Args:

images: 3 枚以上の画像列。

window / overlap / kw: :func:piv_cross_correlate へ渡す。

Returns:

dict: `mean((2, h, w))、rms(同)、reynolds`

(`<u'v'>、(h, w))、turbulence_intensity、n_pairs`、

`rows / cols / step`。

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)

• (none yet)

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

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Same category (`assess`)

piv_sample_at_windows · piv_error_stats · piv_peak_locking

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

piv_time_statistics — PIV assess op