Feature extraction metric calculation for image classification
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I am trying to classify histological images using the bag of features method. In the exampleBagOfFeaturesExtractor the variance is used or the detection metric if a feature detector was used for point selection. I am using different feature extraction techniques and my question is how can I choose which metric(s) to use after the feature extraction.
Another similar question. when I extracted both BRISK and SURF features, I used the normalized variance as a feature metric because the variances from the BRISK features were a lot bigger than the SURFs so basically only the BRISKs were taken into account later at the classification. Was that correct?