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

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

グレー値モルフォロジー膨張(dilation、OpenCV 実装)。近傍の最大値へ置き換える操作で、明るい領域を拡大・暗い領域を縮小する(cv_erode の逆)。

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