CREATION OF THE IMAGE TRAINING MODEL IN SUPERVISED FAST RANDOM FOREST –FRF- ALGORITHM

The Fast Random Forest (FRF) image processing algorithm, being a machine learning supervised algorithms, allows to 
create a classifier model (training model) able to detect the same classes (features) in other images. In order to prove the 
efficiency of the FRF training model it is executed the proposed test.