I am trying to implement an algorithm that extracts,from a 2d data map,   
   subsets of data in wich energy density is higher than the mean. If you   
   represent this data using colours in the desktop , visually you can see   
   these subsets.   
   I don't know wich terms to search to get more information. Maybe   
   algorithms of pattern fitting from image processing, but I think these   
   are not exactly what I need ( I have not many idea about image   
   processing). My subsets always can be aproximated by a rectangle or an   
   ellipse. They are like clouds and I only need an aproximation of wich   
   area they are in.   
   There are existing algorithms for this? Wich terms could I search to   
   get information? The algorithm would need to be efficient.   
   Thanks.   
      
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