Full text: Proceedings of the Symposium "From Analytical to Digital" (Part 2)

  
There are two methods: 
a) Comparison of 2 single columns next to one another 
S1 = 2 a(x1,y) $82 - 2. g(x2, y) , where x2 
1 1 i 
XE +3 =, 
duc. MY 
[51-52 |] 
b) Division of the whole window into 2 equal parts (Yakimovsky's 
method, see also /7/) 
1. Comparison of simple summations, i.e. brightness difference 
between the subsections 
S1 - 2. 2.9(x1,y) x S -2: 2.302. y) , where x2 = x1 + MX/2 
1: Did 
i ms. MY 
j 284.4 MX? 
2. Comparison using variances, i.e. structural difference between 
the subsections 
Mean grey values : 9,7 2 S1 / (MX NO ; 957 2 S2 / (MX MY) 
Variances: V1 2424 s (x1, y) -$,)* siae 2.2. s (x2, y) hb 
IV» ]s1-s2]| resp. | v1 - v2 | , depending on the local 
  
  
variations 
Results 0 : Regular grid 
la, 1b : Interest operators as above 
Unknowns : AO = parallax HO = intensity shift 
Al = tilt H1 = intensity scale 
A2 = shear 
Operator : 0 1a 1b 
Least squares : SD SD R SD R 
AO (0.01 pixel) : 11.5 2.2» «0.61 7.80: =0.61 
A1 (0.01) 24 1.7 00.25 1.6 — -0.16 
A2 ( " ) : 1.9 1.2. 5: ~0.66 1.1 -0.47 
HO (grey value) : 2.0 1.1 0.8 
Hi (0.01) : 6.4 4.3 2.0 
nope a: oft a! de I aR 
Cross correlation : CC CC R CC R 
mean maximum ; 0.72 0.91 +0.44 0.95 . 40.51 
-568 -
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.