Recognizing specific texture patterns by integration of multiple texture methods

摘要: A supervised pixel-based classifier for identifying the presence of a given set texture patterns interest in complex textured image is described. The proposed technique integrates outcome multiple feature extraction methods belonging to different families. In this way, it yields lower classification rates than previous classifiers based on specific families methods. Experimental results with real outdoor images are presented.