co 
n 
  
    
‚alue ; grey value grey value 
  
  
    
  
  
  
  
  
  
  
  
  
  
  
   
   
   
  
   
    
  
   
    
A A | 
| 
| 
| 200 | 200 | 
| in 
| 
| | M 
] 100 |, Y | 100 | 
| M 
! : i : pixel | i : E> iva] } Pixel 
100 200 300 0 100 200 300 0 105 200 300 
Fig.7: Line in reference image (left), image with SNR = 2.5 (middle) and image 
with SNR » 1.0 (right) 
  
Fig.8: Reference image with correlation points 
Test results 
The correlation test shows no significance on the applied kind of noise distribution 
so that we can combine all the results. Only the SNR values are considered. 
D 
The SNR is compu rrelation window and summarized in 18 different 
SNR classes. In ea rrelation probability for every objective function is 
calculated. The re n in table 2. A probability of 0.5 for instance means 
that 50 Z of the correlation points in the corresponding SNR class have been recognized 
correctly.