gray_dilation — 2D `morphology` op

• Data kinds: image → image

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

• HALCON equivalent: gray_dilation (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.

グレースケール膨張(`ndimage.grey_dilation`)。矩形構造要素内の最大値

で画素を置き換え、暗い細部を埋める、`gray_erosion` と対の演算。HALCON の

`gray_dilation`（Perform a gray value dilation on an image.）に相当。

`a が構造要素サイズを {3,5,7,9} で振る。b` は未使用。

Detailed usage guide

• gallery2d_morphology 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_morphology — py -3.11 examples/gallery2d_morphology.py

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

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

Same category (`morphology`)

gerode · gdilate · gopen · gclose · tophat · bothat · morph_grad · sk_area_opening

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

gray_dilation — 2D morphology op