gray_dilation_shape — 2D `morphology` op

• Data kinds: image → image

• Call: fullseye.apply(img, "gray_dilation_shape", 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_shape (the HALCON reference is a useful guide to its meaning and parameters)

Usage

Grayscale dilation using a circular (disk, radius `_rad(a)`=1-4) structuring element -- replaces each pixel with the maximum value in its window. b is unused.

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

HALCON の `gray_dilation_shape（円・矩形など任意形状のマスクで窓内最大のグレー値を求める演算）に相当。矩形版は gray_dilation_rect` が担当する。

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_shape — 2D morphology op