match_component — REPRCONV `structure` op

• Data kinds: match → measurement

• Call: import fullseye as fs; fs.ledger.match_component(match, index=0) (to call the implementation directly, import reprconv; reprconv.match_component(match, index=0); from the registry, opsreprconv.get("match_component"))

• GPU: none (CPU reference implementation only)

Usage

The match sort (a 1-D result vector) → one of its components as a measurement. The exit from match.

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

2-D レジストリの match 型は「1 スカラーでは表せない複数の値」を 1 本のベクトルで運ぶ:

area_center = (面積 [px], 重心の行 [px], 重心の列 [px])、ncc_locate / shape_locate = (相関値, 行, 列)、eccentricity = (Anisometry, Bulkiness, StructureFactor) など。HALCON でも area_center の Row だけを次の処理に渡すように、成分を名指しで 1 つ取り出すのがこの型の自然な出口。どの成分が何かは産んだ op の docstring が決めている(ここでは解釈しない)。

Args:

match: 1-D の有限な数値列(長さ >= 1)。0-D のスカラーは長さ 1 として受ける。

index: 取り出す成分の番号(0 始まり)。負の番号は使えない(取り違えを防ぐため)。

Returns:

float。

Raises:

ValueError: 1-D でない / 非有限 / 空 / index が範囲外か整数でない。

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)

• type_connectivity_tour — py -3.11 examples/type_connectivity_tour.py

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

—

Same category (`structure`)

frame_axis · knn_graph_to_conn_graph · pointmap_to_points

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

match_component — REPRCONV structure op