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47 lines
1.4 KiB
Markdown
47 lines
1.4 KiB
Markdown
# nz_cell
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It's an implementation of [Worley noise](https://en.wikipedia.org/wiki/Worley_noise). The feature points can be customized. The function returns `[cell_x, cell_y(, cell_z), noise]` value at the (x, y(,z)) coordinate.
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**Since:** 2.3
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## Parameters
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- `points` : The feature points, can be 2D or 3D.
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- `p` : The pixel or voxel coordinate.
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- `dist` : The noise value of each point is based on its distance to other cells. Different distance strategies make different noises. The `dist` parameter accepts `"euclidean"`, `"manhattan"`, `"chebyshev"` or `"border"`.
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## Examples
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use <noise/nz_cell.scad>
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use <golden_spiral.scad>
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size = [100, 50];
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half_size = size / 2;
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pts_angles = golden_spiral(
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from = 3,
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to = 10,
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point_distance = 3
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);
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feature_points = [for(pt_angle = pts_angles) pt_angle[0] + half_size];
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noised = [
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for(y = [0:size.y - 1], x = [0:size.x - 1])
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[x, y, nz_cell(feature_points, [x, y])]
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];
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max_dist = max([for(n = noised) n[2]]);
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for(n = noised) {
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c = abs(n[2] / max_dist);
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color([c, c, c])
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linear_extrude(n[2] + 0.1)
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translate([n[0], n[1]])
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square(1);
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}
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You can build a model such as [voronoi_fibonacci2](https://github.com/JustinSDK/dotSCAD/blob/master/examples/voronoi/voronoi_fibonacci2.scad):
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