Results on 'Suppor Filter'

 

Basic algorithm:

        If  center > TC   and   mean (sum) of 20 neighbors > TN then, set the pixel '1'       

        TC = threshold for center, (get from the pooled histogram of normalized deviations, out of empty training sequence, at the point of the false alarm rate).

        TN = threshold for neighbors, (get from the pooled histogram of mean (sum) deviations of neighbors where the center = 1 at the stage of TC, out of empty training sequence, at the point of the false alarm rate).

       Tother = threshold for original deviations, which is comparable with the support filter results.

 

0 1 1 1 0
1 1 1 1 1
1 1 0 1 1
1 1 1 1 1
0 1 1 1 0

mask of 20 neighbors