Robust morphological features for texture classification

In the present paper, a set of robust texture features based on morphological residues of opening or closing by reconstruction is introduced. This set of features is proven much more robust to noise than those based on traditional morphological residues. The robustness to noise of this set of features is investigated in detail. An algorithm is constructed to select the most discriminating feature subset. In texture classification experiments, it is found that this feature subset bears high robustness to various noises even when the noise levels are quite high.