distance_transform — 2D `region` op

• Data kinds: region → image

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

• HALCON equivalent: distance_transform (the HALCON reference is a useful guide to its meaning and parameters)

Usage

> This operator's description has not been translated yet. The original text follows as it is.

ユークリッド距離変換(`ndimage.distance_transform_edt`)を最大値で

正規化した画像。各前景画素について最も近い背景画素までの距離を表す ――

値が大きいほど領域の「奥」にある画素。出力は `region` ではなく

`image 型になる点に注意。HALCON の distance_transform`（Compute the

distance transformation of a region.）に相当。

`a, b` は未使用。

Detailed usage guide

• gallery2d_region 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_region — py -3.11 examples/gallery2d_region.py

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

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

Same category (`region`)

reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small · invert_region

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

distance_transform — 2D region op