26th European Conference on Modelling and Simulation
West StartUp "Kreuzverweis" moves on with EXIST II
Color Texture Analysis
As a measure for the correlation between two color planes 
the color covariance 
is defined by 
is used to denote the color component 
of the pixel at position (x,y) of the image region I with |I| pixels. 
is the mean value and 
the standard deviation in the color plane i. The color covariance is calculated for a set of different displacement vectors 
in a two dimensional orthogonal image topology. Square matrices 
, 
, 
can be defined for a constant visibility distance D. In the centre 
of these covariance matrices the covariance measure of two color planes is located without a displacement.
It is 
, where 1 means high correlation, 0 no correlation and -1 anti-correlation. Inside the color planes i we have 
. A symmetrical characteristic is 
= 
. Therefore only half covariance matrices have to be calculated for all nine combinations of color planes 
explicitly: 
, 
, 
, 
, 
, 
, 
, 
, 
.
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