Normalizing the invariant moments

Today, I just modified the feature generation code by normalizing the moment generation parameters. Previously for different disk sizes the radii's were taken as is and moments where calculated. So if the disk size is say 30 pixels then the 15^4 would just explode. So in the modified code the radii are normalized to 1.

Brodatz dataset: After this modification the result was run on the tougher Brodatz textures. The following where the results for target prediction rate = 0.8


Synapses dataset: The same experiment on the dataset didn't give any better results. Compared to the previous experiments without fix to the normalization to the moment attributes.