vol_gaussian — 2D `3d` op

• Data kinds: volume → volume

• Call: fullseye.apply(img, "vol_gaussian", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

*No figure: this op takes volume as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*

Usage

Isotropic Gaussian smoothing of a 3D volume. No corresponding HALCON op is specified.

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

`a が標準偏差 σ を 0.3〜3.0（0.3+2.7a）に振る。b は未使用。scipy.ndimage は次元非依存（N-D）なので、2-D の _gaussian` と全く同じ式をそのまま 3 軸（CT/MRI/深度スタック等）に適用する。

Detailed usage guide

• gallery2d_physics_alife_3d 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)

• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py

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

identity · vol_median · vol_erode · vol_dilate · vol_threshold · vol_reg_dilate · vol_reg_erode · vol_dilation_ball

Same category (`3d`)

vol_median · vol_erode · vol_dilate · vol_threshold · vol_reg_dilate · vol_reg_erode · vol_dilation_ball · vol_erosion_ball

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

vol_gaussian — 2D 3d op