Sashidhar MadirajuChih-Chiang Liu
This paper presents a robust texture encoding technique for texture processing using a covariance-based approach. This encoder produces a texture code which is invariant to local and global textural rotations. Our proposed method uses six statistical features obtained from two rotation invariant local descriptors. The covariance technique is used to compute local descriptors and to index roughness, anisotropy, or general textural differences. Texture classification and segmentation is carried out to evaluate the proposed encoding scheme. Classification and segmentation results for synthetic and natural textures are presented to show the robustness of our method.
Ramchandra ManthalkarKumar P. Biswas
Henri H. ArsenaultYuan-Neng HsuKatarzyna Chałasińska-MacukowYusheng Yang
Jan SchierÓscar R. PoloBrett Sandberg