Abstract
Texture feature extraction and segmentation can be considered in many methods. This work presents the methods of extracting texture features from Gabor filter and gray-level co-occurrence matrix. The both methods are compared by considering with many texture images. From this experiment, we showed that texture features derived from Gabor filter provides better results than those derived from gray-level co-occurrence matrix for all tested images.