alife_dla — 2D `artificial-life` op

• Data kinds: image → image

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

alife_dla: 入力 → 出力

*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).*

Usage

Deterministic diffusion-limited-aggregation (DLA) growth proxy.

Witten-Sander DLA grows a cluster by releasing random walkers that stick on

contact; the walker density obeys a Laplace equation, so this op replaces the

random walkers by their *deterministic* mean field: the unclaimed image

brightness is diffused with a Gaussian Green's function to give a

concentration u, and each generation the cluster's Moore boundary attaches

exactly those cells whose concentration clears a stickiness threshold

(with the single strongest boundary cell always attaching, so growth never

stalls). Bright pixels (>= 0.75 of the image maximum, or the single brightest

pixel) are the seed. `a` sets the number of growth generations

1 + int(11a), `b` the stickiness: high b selects only the highest-

concentration tips (dendritic, screened growth), low b attaches nearly the

whole boundary (compact, Eden-like growth). Returns the 0/1 cluster.

Detailed usage guide

• gallery2d_physics_alife_3d 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.

Try it in Studio

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.

alife_dla 0.50 0.50

▸ Load this pipeline · Load & run

Runnable examples (verified samples that actually call this op)

• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py

• sim2real_and_alife — py -3.11 examples/sim2real_and_alife.py

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

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

Same category (`artificial-life`)

alife_gray_scott · alife_turing · alife_life_step · alife_cyclic_ca · alife_perona_malik · alife_curvature_flow · alife_reaction_bz · alife_wolfram1d

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

alife_dla — 2D artificial-life op