Features for classification might include words, weights for those words (based on frequency, for instance), parts of speech, and so on.

Based on frequency domain distribution and scale feature of textural information, we can do texture classification effectively.

A new thought of combining frequency estimate method based on FFT with that based on multiple signal classification (MUSIC) is presented.