physics op• Data kinds: image → image
• Call: fullseye.apply(img, "ph_coherence_enhancing_diffusion", 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).*
Weickert coherence-enhancing diffusion (HALCON `coherence_enhancing_diff`).
Builds the structure tensor J_rho = G_rho * (grad I_sigma . grad I_sigma^T),
eigendecomposes it, and diffuses with a tensor whose ALONG-structure eigenvalue
grows with local coherence (mu1-mu2)^2 while the ACROSS-structure eigenvalue
stays small — so noise is smoothed along coherent lines/flow without blurring
across them. Update I <- I + dt * div(D grad I). `a` sets the step count,
`b` the integration scale rho.
• 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.
ph_coherence_enhancing_diffusion 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
physics)ph_perona_malik · ph_reaction_diffusion · ph_heat_flow · ph_mean_curvature_motion · ph_total_variation_flow
*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.