• A database including 637 images with human subjective ratings for training and test was set up

• Some feature extraction algorithms were applied to the images, getting 65 features out from each image

• The features include red, green and blue values, counts of long and short lines, entropy, sharpness, and fractal dimensions, etc.

• Some classification algorithms were applied