cv_dilate — 2D `morphology` op

• Data kinds: image → image

• Call: fullseye.apply(img, "cv_dilate", 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

Grayscale morphological dilation (OpenCV implementation). Replaces each pixel with the maximum value of its neighborhood, expanding bright regions and shrinking dark ones (the opposite of cv_erode).

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

HALCON の gray_dilation(Perform a gray value dilation on an image.)に相当。実装は `cv2.dilate(v, se)、se は楕円形でサイズ 3+2*int(a*3)` —— a は構造要素サイズを 3〜9 に振る。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).*

cv_dilate — 2D morphology op