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])

xsitk_signed_maurer_dist: 入力 → 出力

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*

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.

Try it in Studio

The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.

threshold 0.50 0.50
xsitk_signed_maurer_dist 0.50 0.50

▸ Load this pipeline · Load & run

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