xsitk_signed_maurer_dist — 2D `extra` op

• Data kinds: region → image

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

Usage

The signed distance map (SimpleITK `SignedMaurerDistanceMap`) compressed into [0,1] using tanh. Represents the distance from the boundary of a binary region (both inside and outside) as an image of continuous values where positions closer to the boundary move further from 0.5.

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

`a は tanh のスケール(1.0+9.0*a で 1〜10。大きいほど遷移が緩やかで広い範囲がグレーになる)を振る。b` は未使用。距離を画素座標のスケールで解釈する点、符号(内側/外側どちらが正か)は SimpleITK のデフォルト規約に従う点に注意。

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_curv_aniso_diff · xsitk_laplacian_sharpen · xsitk_grayscale_fillhole · xsitk_grayscale_grindpeak · xsitk_opening_by_recon · xsitk_closing_by_recon

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

xsitk_signed_maurer_dist — 2D extra op