xsitk_curv_aniso_diff — 2D `extra` op

• Data kinds: image → image

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

Usage

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

曲率異方性拡散(SimpleITK `CurvatureAnisotropicDiffusion`)。Perona-Malik 型の異方性拡散の一種で、エッジ(勾配が大きい場所)では拡散を抑え、平坦な場所ではよく拡散させることでエッジを保ったまま平滑化する。

`a は伝導度パラメータ(conductance、0.5+4.5*a で 0.5〜5.0。大きいほどエッジ判定が緩くなり強く拡散する)、b` は反復回数(1〜9 回)を振る。時間刻みは 0.0625 固定。出力は [0,1] にクリップ。

Detailed usage guide

• gallery2d_color_artistic 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_color_artistic — py -3.11 examples/gallery2d_color_artistic.py

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

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

Same category (`extra`)

xsitk_curvature_flow · xsitk_minmax_curv_flow · xsitk_laplacian_sharpen · xsitk_grayscale_fillhole · xsitk_grayscale_grindpeak · xsitk_opening_by_recon · xsitk_closing_by_recon · xsitk_signed_maurer_dist

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

xsitk_curv_aniso_diff — 2D extra op