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])
*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).*
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.
• gallery2d_geometry family guide
• 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.
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.
tf_radon_sinogram 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_geometry — py -3.11 examples/gallery2d_geometry.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
transform)*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.