rle_region op• 資料種類:voxel → rle_region
• 呼叫: import fullseye as fs; fs.ledger.vol_rle_components(vol_binary, connectivity=26)(要直接呼叫實作,import volregion; volregion.vol_rle_components(vol_binary, connectivity=26);從台帳取用則 ops3d.get("vol_rle_components"))
把二值體拆成逐成分的 `VolRLE` 區域。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
*The* use case run-length regions exist for: holding every component of a
segmentation as its own region at run-proportional cost, instead of one
dense label volume or N dense masks. Uses the key structural fact that a
run is x-connected, so a component label is constant along each run — the
volume is labelled once (dense, same 6/18/26 semantics as
`volops.vol_label`) and then each *run* is assigned by its first voxel's
label; no per-component dense mask is ever built.
Returns a list of `VolRLE` ordered by label id (1..n). An empty mask
returns an empty list.
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• rle_region_efficiency — py -3.11 examples_3d/rle_region_efficiency.py
rle_region 作為輸入)vol_rle_decode · vol_rle_volume · vol_rle_bbox · vol_rle_centroid · vol_rle_union · vol_rle_intersect · vol_rle_difference · fuse_to_voxel
rle_region)vol_rle_encode · vol_rle_decode · vol_rle_volume · vol_rle_bbox · vol_rle_centroid · vol_rle_union · vol_rle_intersect · vol_rle_difference
*Provenance: volregion.py — 3D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.