Is there a good way to generate a random point in a 2D plane where the probability of choosing any specific location is based on Perlin Noise?

Essentially, when I generate a lot of points using such a method I would like to see many points in the areas where the Noise has high values and not so many in those where the value is lower.

Any ideas?

CodePudding user response：

Simple rejection-based approach:

1. Generate random point
2. Calculate Perlin noise value greater than or equal to 0 and less than or equal to 1 at point
3. Generate random number greater than 0 and less than or equal to 1
4. If random number is greater than Perlin noise value then discard point and go back to step 1 and try again, otherwise that's your point