DocumentCode
396484
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
Volume
4
fYear
2003
fDate
25-28 May 2003
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2003. ISCAS '03. Proceedings of the 2003 International Symposium on
Print_ISBN
0-7803-7761-3
Type
conf
DOI
10.1109/ISCAS.2003.1205784
Filename
1205784
Link To Document