tomography op• Data kinds: image → image
• Call: fullseye.apply(img, "tm_backproject_unfiltered", 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).*
Plain (UN-filtered) back-projection of the input sinogram -- the classic blurry reconstruction. No ramp filter is applied, so high frequencies are suppressed and every point spreads a 1/r blur: this deliberately shows why FBP's filter is needed. `a/b are unused (this is the fixed naive baseline). Uses skimage.transform.iradon with filter_name=None` when available, else the NumPy plain back-projection. Output refit to HxW.
• gallery2d_physics_alife_3d 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.
tm_backproject_unfiltered 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
tomography)tm_radon_forward · tm_fbp_reconstruct · tm_sart_reconstruct · tm_sinogram_denoise
*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.