Poisson disc sampling is a nice way of getting random yet even coverage.
Following the helpful page from devmag here are 2d and 3d implementations of Poisson disc (sphere?) sampling in Matlab. Also an implementation using SPM's grey mask to parcellate grey matter to an arbitrary degree.
Hello,
ReplyDeleteIn your 3D implementation of the Poisson disk sampling, when generating a new random point around a given point, you will have to use the following line
[x y z]=sph2cart(2*pi*rand(1),pi/2 - (pi*rand(1)),min_dist*(rand(1)+1));
instead of
[x y z]=sph2cart(2*pi*rand(1),pi*rand(1),min_dist*(rand(1)+1));
This is because matlab measures phi from the XY plane towards positive Z-axis. In the algortihm used in sph2cart, Z = r*sin(phi) instead of the usual convention of Z = r*cos(phi) which is what your original code is based on, that is, measure phi from the Z-axis towards the XY plane.
Your original code ends up generating points only in the positive Z-axis quadrants for any given point.