nz_cell

It's an implementation of 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.

Since: 2.3

Parameters

points : The feature points, can be 2D or 3D.
p : The pixel or voxel coordinate.
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".

Examples

use <noise/nz_cell.scad>
use <golden_spiral.scad>

size = [100, 50];
half_size = size / 2;

pts_angles = golden_spiral(
    from = 3, 
    to = 10, 
    point_distance = 3
);

feature_points = [for(pt_angle = pts_angles) pt_angle[0] + half_size];
noised = [
    for(y = [0:size.y - 1], x = [0:size.x - 1]) 
    [x, y, nz_cell(feature_points, [x, y])]
];

max_dist = max([for(n = noised) n[2]]);

for(n = noised) {
    c = abs(n[2] / max_dist);
    color([c, c, c])
    linear_extrude(n[2] + 0.1)
    translate([n[0], n[1]])
        square(1);
}

You can build a model such as voronoi_fibonacci2:

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nz_cell

Parameters

Examples

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