Contourlet-Based Feature Extraction on Texture Images

According to the directional property and coefficients energy feature in contourlet decomposition, we proposed a new algorithm which is adapted to extract the rotated texture¿s features. By using this algorithm, we can take good advantage of directional information in contourlet decomposition by different decomposition level. With the extracted feature vectors, we can easily distinguish different texture in standard Brodatz texture database with high classification accuracy.