How to create a features vector after extracting them from an Image?
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Elias Unk
el 29 de Abr. de 2017
Comentada: Image Analyst
el 30 de Abr. de 2017
I extracted color features like mean,standard deviation,variance etc...note that i extracted from different color spaces like RGB,HSV,YCbCr and extracted the same features for each color plane,R,G,B,H,...etc.. and texture features like correlation,contrast,energy etc..note that i used GLCM to extract my texture features and i did that for 4 orientations so some of my texture features is a 1D 4 elements vector. How can i create 1 final vector that summarizes everything for an image and which way/ways could be used so i can actually find out what features matter most so i can increase their weights accordingly or get rid of the least important.
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Image Analyst
el 29 de Abr. de 2017
String them all together:
featureVector = [var1, var2, var3, ..... etc.]
It might help to normalize all variables to the range 0-1 so that one is not overly influential just because it has a higher value.
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Image Analyst
el 30 de Abr. de 2017
They do different things. Either might be okay. The thing is you want to avoid values in your feature vector that are like orders of magnitude different from each other.
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