Title :
A regularized simultaneous autoregressive model for texture classification
Author :
Wang, Yao-Wei ; Wang, Yan-Fei ; Gao, Wen ; Xue, Yong
Author_Institution :
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Abstract :
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduced. With the technique, the new algorithm RSAR outperforms the traditional algorithm in texture classification. Particularly, our new algorithm is useful for extracting texture from the image which is coarse or contains too much noise.
Keywords :
autoregressive processes; image classification; image texture; image texture extraction; regularized simultaneous AR method; regularized simultaneous autoregressive model; texture classification; Classification algorithms; Computers; Data mining; Image texture analysis; Integral equations; Laboratories; Least squares approximation; Maximum likelihood estimation; Pixel; Remote sensing;
Conference_Titel :
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN :
0-7803-7761-3
DOI :
10.1109/ISCAS.2003.1205784
