vol_mip — 2D `3d` op

• Data kinds: volume → image

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

Usage

Collapses a 3D volume into a 2D image via Maximum Intensity Projection (MIP). No corresponding HALCON op is specified.

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

`a, b は未使用。先頭軸（axis=0、スライス/深さ方向）に沿った最大値を取り、_norm` でそのスライスの最大絶対値を 1 に正規化する。CT/MRI の読影でよく使う投影法。

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 `image` as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`3d`)

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

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

vol_mip — 2D 3d op