How to create a features vector after extracting them from an Image?
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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
2017-4-29
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
2017-4-30
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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