morph_open3d — 3D `morphology` op

• Data kinds: voxel → voxel

• Call: import fullseye as fs; fs.ledger.morph_open3d(vol, r=1, device='cpu', se='cube') (to call the implementation directly, import match3d; match3d.morph_open3d(vol, r=1, device='cpu', se='cube'); from the registry, ops3d.get("morph_open3d"))

• GPU: this op has a GPU path (device="cuda")

Usage

3-D opening = erosion → dilation. Removes the bright structures (spikes and grains) smaller than the structuring element.

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

`morph_dilate3d(morph_erode3d(vol, r, ...), r, ...)` と同じ SE を 2 回。出力は入力以下

(`open <= vol)で、SE(一辺 2r+1` の cube か半径 r の ball)が入り切らない明るい突起・

孤立点・細いブリッジが消え、大きな構造の形は保たれる(等冪: 2 回掛けても同じ)。

`r は voxel 単位、se は "cube"/"ball"(他は ValueError)、device` は cube+torch の

ときだけ有効。返り値 `(D,H,W)` float32 numpy。

用途: `vol − open が morph_tophat3d`(小さな明構造の抽出)。点密度 voxel の孤立ノイズ

点除去、2 値占有の細線除去。

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.

Runnable examples (verified samples that actually call this op)

• morphology_3d — py -3.11 examples_3d/morphology_3d.py

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

voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa

Same category (`morphology`)

morph_dilate3d · morph_erode3d · morph_close3d · morph_gradient3d · morph_tophat3d · morph_blackhat3d

*Provenance: match3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

morph_open3d — 3D morphology op