Full decision tree. The resultant decision tree formed for all features. „KON” and „HAS” values stand for the classification result – healthy, sick person, respectively. This is one of many decision trees created during the analysis of “ w” features significance level. The feature w(2) related to the regional minimum value in the Ls image is in the first node of the decision tree. Next, in the subsequent nodes, there are the features w(6) and w(8) associated with the neighbourhood matrix L
and the square-tree decomposition of the image Ls. Subsequent nodes are associated with the other features w(1), w(3), w(4), w(5), w(7), w(9) and w(10).