markov1 markov2 markov3 markov4 markov5 MinIntensity    MaxIntensity    MeanIntensity   SDIntensity MinIntensityBG  MaxIntensityBG  MeanIntensityBG SDIntensityBG   IntesityDifference  gabormean_0_0   gaborSD_0_0 gabormean_0_1   gaborSD_0_1 gabormean_0_2   gaborSD_0_2 gabormean_1_0   gaborSD_1_0 gabormean_1_1   gaborSD_1_1 gabormean_1_2   gaborSD_1_2 gabormean_2_0   gaborSD_2_0 gabormean_2_1   gaborSD_2_1 gabormean_2_2   gaborSD_2_2 gabormean_3_0   gaborSD_3_0 gabormean_3_1   gaborSD_3_1 gabormean_3_2   gaborSD_3_2 Contrast    Correlation Energy  Homogeneity Entropy @3rdordermoment Inversevariance Sumaverage  Variance    Clustertendency MaxProbability  Area    ConvexArea  Circularity Perimeter   ConvexPerimeter Roughness   EquivDiameter   MajorAxisLength MinorAxisLength Elongation  Compactness Eccentricity    Solidity    Extent  RadialDistanceSD    SecondMoment

Notes:

The gabor features match up with what is being generated by Patricks work. Just set them in the same order, starting at column 15

Columns:

65  total

1-5     Markov      C#

6-14    intensities Where? (mine is insufficient)

15-38   gabor       Done

39-49   haralick    Done

50-65   shape?      In Progress

Fix Neural network prediction module

segmented concatenated per line - each line is one largest slice

#numfeatures will change make it flexible everywhere