tf_radon_sinogram — 2D `transform` op

• Data kinds: image → image

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

Usage

radon_sinogram: the Radon transform rendered as an HxW sinogram image.

Row `i is the parallel-beam projection at angle theta_i` (the image

rotated by `theta_i` and summed down its columns); the W columns index the

detector position. `a` sets the angular span (limited-angle tomography:

span = 180deg * (0.25 + 0.75*a)); `b` is unused. The sinogram is rescaled

to [0,1]. A rotationally symmetric object gives angle-independent (identical)

rows; an off-centre point traces the classic sine wave.

Detailed usage guide

• gallery2d_geometry 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_geometry — py -3.11 examples/gallery2d_geometry.py

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

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

Same category (`transform`)

xmh_haar · xmh_daubechies

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

tf_radon_sinogram — 2D transform op