A regularized simultaneous autoregressive model for texture classification

Yao Wei Wang; Yan Fei Wang; Wen Gao; Yong Xue

A regularized simultaneous autoregressive model for texture classification

Yao Wei Wang^*
, Yan Fei Wang
, Wen Gao
, Yong Xue

^*Corresponding author for this work

CAS - Institute of Computing Technology
CAS - Institute of Remote Sensing Application

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

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.

Original language	English
Title of host publication	Proceedings of the 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	IV105-IV108
ISBN (Print)	0780377613
State	Published - 2003
Externally published	Yes
Event	2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003 - Bangkok, Thailand Duration: 25 May 2003 → 28 May 2003

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	4
ISSN (Print)	0271-4310

Conference

Conference	2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003
Country/Territory	Thailand
City	Bangkok
Period	25/05/03 → 28/05/03

Cite this

Wang, Y. W., Wang, Y. F., Gao, W., & Xue, Y. (2003). A regularized simultaneous autoregressive model for texture classification. In Proceedings of the 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003 (pp. IV105-IV108). (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 4). Institute of Electrical and Electronics Engineers Inc..

@inproceedings{e0a6cb2d864747ebba868f0c07832b2c,

title = "A regularized simultaneous autoregressive model for texture classification",

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.",

author = "Wang, \{Yao Wei\} and Wang, \{Yan Fei\} and Wen Gao and Yong Xue",

year = "2003",

language = "英语",

isbn = "0780377613",

series = "Proceedings - IEEE International Symposium on Circuits and Systems",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "IV105--IV108",

booktitle = "Proceedings of the 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003",

address = "美国",

note = "2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003 ; Conference date: 25-05-2003 Through 28-05-2003",

}

Wang, YW, Wang, YF, Gao, W & Xue, Y 2003, A regularized simultaneous autoregressive model for texture classification. in Proceedings of the 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003. Proceedings - IEEE International Symposium on Circuits and Systems, vol. 4, Institute of Electrical and Electronics Engineers Inc., pp. IV105-IV108, 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003, Bangkok, Thailand, 25/05/03.

A regularized simultaneous autoregressive model for texture classification. / Wang, Yao Wei; Wang, Yan Fei; Gao, Wen et al.
Proceedings of the 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003. Institute of Electrical and Electronics Engineers Inc., 2003. p. IV105-IV108 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A regularized simultaneous autoregressive model for texture classification

AU - Wang, Yao Wei

AU - Wang, Yan Fei

AU - Gao, Wen

AU - Xue, Yong

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/5444239417

M3 - 会议稿件

AN - SCOPUS:5444239417

SN - 0780377613

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - IV105-IV108

BT - Proceedings of the 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2003 IEEE International Symposium on Circuits and Systems, ISCAS 2003

Y2 - 25 May 2003 through 28 May 2003

ER -

A regularized simultaneous autoregressive model for texture classification

Abstract

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