Poisson Disk Sampling

Based on article: http://devmag.org.za/2009/05/03/poisson-disk-sampling/

package main

import (
	"os"
	"image"
	"image/draw"
	"image/color"
	"image/png"
	"github.com/plandem/poisson-disk-sampling"
)

func main() {
	width, height, numPoints := 1024, 1024, 1000
	
	//generate poisson disk samplings
	points := poisson.NewPoissonDisk(numPoints)

	//draw result
	img := image.NewRGBA(image.Rect(0, 0, width, height))
	draw.Draw(img, img.Bounds(), &image.Uniform{color.Black}, image.ZP, draw.Src)
	for _, point := range points {
		x := int(point.X * float64(width))
		y := int(point.Y * float64(height))
		img.Set(x, y, color.White)
	}

	//save result png
	f, _ := os.OpenFile("output.png", os.O_WRONLY|os.O_CREATE, 0600)
	defer f.Close()
	png.Encode(f, img)
}

Get more examples at example_test.go

basic example

with minimum distance

with circle area filter

with rectangle area filter

with simplex noise post filter

with PNG map post filter

full featured example