xsitk_connected_threshold — 2D `extra` op

• Data kinds: image → region

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

Usage

Connected threshold region growing (SimpleITK `ConnectedThreshold`, region growing). Uses the pixel at the image center as a seed and grows the region to include only pixels connected to the center that fall within an intensity interval centered on that pixel's value.

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

`a は下限マージン(0.1+0.3*a)、b は上限マージン(0.1+0.3*b`)を振る —— 区間は [中心値-下限, 中心値+上限]。画像中心付近に対象があることを前提とした op。

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 `region` as input)

identity · reg_erode · reg_dilate · reg_open · reg_close · fill_holes · select_largest · remove_small

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_connected_threshold — 2D extra op