physics op• Data kinds: image → image
• Call: fullseye.apply(img, "ph_mean_curvature_motion", 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).*
Mean-curvature motion / curve-shortening flow (HALCON `mean_curvature_flow`).
Level-set curvature flow I_t = |grad I| * div(grad I / |grad I|), discretised
in the numerically stable form
I_t = (I_xx I_y^2 - 2 I_x I_y I_xy + I_yy I_x^2) / (I_x^2 + I_y^2 + eps).
Each level curve moves inward proportionally to its curvature, so a bright disk
shrinks and its boundary shortens (denoising / small-structure removal).
`a sets the step count; b` is unused.
• 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_mean_curvature_motion 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_coherence_enhancing_diffusion · ph_reaction_diffusion · ph_heat_flow · 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.