I am extracting the features like mean,variance,kurtosis,etc for images in a database.Here after extracting the features for an single whether normalization has to be done or after extracting the features for all the images normalization has to done
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I am extracting the features from the database images.
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Image Analyst
2015년 10월 26일
If you are doing automated classification, it's recommended you normalize your feature numbers. Let's say you have two feature classes that have values around 1 and 3, and another feature class that has values around a million. If you do automated classification, it might think that there are only two classes because the first two are so close together that they look like a single class when comparing it to a class that has values of a million. But if you can normalize them all so that they all have values around 0-1, then it will probably recognize that there are 3 distinct classes.
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