Advances in Computer Engineering

Research Article

Feature Extraction with Ordered Mean Values for Content Based Image Classification

Algorithm 1

Begin
   () Let be an image with color components Red (R), Green (G) and Blue (B) respectively of size each.
   () Represent intensity values with one dimensional array ODA.
   () The gray values of each color component for the given image were arranged in descending order as “ORDERED ODA”.
   () The intensity values of the respective color components were divided into subdivisions () where for feature
     extraction.
/*The feature vector of each color component was computed from each SubDiv by using the procedure
DESCENDINGMEAN()*/
DESCENDINGMEAN()
{
Read (, )
for   to  
for to
end
end
}
   () Reiterate procedure DESCENDINGMEAN() for and evaluate classification performances with ()
     (while ().
   () Stop when classification result with current numbers of descending mean values is lower compared to the immediate
     last calculated numbers of descending mean value.
End