artificial-life op• 数据种类:image → image
• 调用:fullseye.apply(img, "alife_dla", a=0.5, b=0.5)(2-D 的模型是一张图 + 两个标量旋钮 a,b∈[0,1])
*图为在 128×128 合成输入上实际运行的输出。左为输入，右为输出(非图像的返回值直接显示其值)。*
确定性扩散限制凝聚(diffusion-limited aggregation, DLA)生长近似。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
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.
• gallery2d_physics_alife_3d 族使用指南
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者・年份)与用途见上面的族使用指南。
下面的程序已确认可以运行(与图相同的输入)。在 Studio 帮助中，此块会变成按钮，可当场加载并运行。
alife_dla 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_physics_alife_3d — py -3.11 examples/gallery2d_physics_alife_3d.py
• sim2real_and_alife — py -3.11 examples/sim2real_and_alife.py
image 作为输入)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
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 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.