Abstract: The invention relates to a method of spatial filtering a point distribution representing a structure buried in noise and each of the points of which are defined by n coordinate values of an n-dimensional space, wherein for each point the function representing the number of the points in an area around the point concerned as a function of a dimension of the area is established, and a scaling coefficient equal to the exponent (a) of a simple power function is determined which approximates as near as possible the function determined in step a) in a certain area having the dimension (d), furthermore the scaling coefficients of the points of a n-dimensional stochastic point distribution of a type equivalent to the point distribution to be filtered are determined, the difference between the scaling coefficients of the point distribution to be filtered and the scaling coefficients of the stochastic point distribution are determined, and the points, the scaling coefficients of which are contained in the difference an