Feature extraction matlab code free download

1. How do I extract a feature in Matlab?
2. How to extract Gabor features in Matlab?
3. How to do feature extraction?
4. Which one is a feature extraction example?

How do I extract a feature in Matlab?

The simplest way to generate code for automatic feature extraction is to use the Export button in the Feature Designer tab and select Generate Function for Features. Your selection opens a set of options that allow you to specify the features to include from the feature table that you select.

How to extract Gabor features in Matlab?

The second function named "gaborFeatures. m" extracts the Gabor features of an input image. It creates a column vector, consisting of the Gabor features of the input image. The feature vectors are normalized to zero mean and unit variance.

How to do feature extraction?

Feature Extraction aims to reduce the number of features in a dataset by creating new features from the existing ones (and then discarding the original features). These new reduced set of features should then be able to summarize most of the information contained in the original set of features.

Which one is a feature extraction example?

Another successful example for feature extraction from one-dimensional NMR is statistical correlation spectroscopy (STOCSY) [41].