Title : 
A compound Poisson-cliques random field model for texture singularities
         
        
            Author : 
Francos, Joseph M. ; Meiri, A. Zvi
         
        
            Author_Institution : 
Dept. of Electr. Eng., Technion, Haifa, Israel
         
        
        
        
        
            Abstract : 
A new model for the spatial singularities component of the texture field and parameter estimation and synthesis procedures are presented. The spatial singularities field includes the local-structural components of the texture. The field is modeled by a 2-D compound Poisson-cliques model, after testing the fitness of the proposed model to the detected singularities field. According to this model the spatial singularities field is a 2-D point process where each of the events is a clique. The test of fit is based on a discrete version of the Kolmogorov-Smirnov test. In the analysis procedure the intensity of the 2-D point process is estimated, as well as the empirical distribution function of the clique occurrences. These parameters are then used to synthesize the singularities field
         
        
            Keywords : 
parameter estimation; picture processing; random processes; 2D point process; Kolmogorov-Smirnov test; compound Poisson-cliques random field model; discrete version; natural images; parameter estimation; spatial singularities component; synthesis; texture field; texture singularities; Brightness; Cities and towns; Distribution functions; Fabrics; Image analysis; Lattices; Low pass filters; Parameter estimation; Testing; Virtual colonoscopy;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
         
        
            Conference_Location : 
Toronto, Ont.
         
        
        
            Print_ISBN : 
0-7803-0003-3
         
        
        
            DOI : 
10.1109/ICASSP.1991.150951