Rough set based image texture recognition algorithm

Zheng Zheng; Hong Hu; Zhongzhi Shi

doi:10.1007/978-3-540-30132-5_105

Rough set based image texture recognition algorithm

Zheng Zheng^*
, Hong Hu
, Zhongzhi Shi

^*Corresponding author for this work

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

10 Scopus citations

Abstract

Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In this paper, rough set theory is applied to image texture recognition. Based on rough set and generalized approximate space, we develop a rough set based image texture recognition algorithm. We compare it with some other algorithms and the results show that our algorithm is effective and efficient.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Mircea Gh. Negoita, Robert J. Howlett, Lakhmi C. Jain
Publisher	Springer Verlag
Pages	772-778
Number of pages	7
ISBN (Print)	9783540301325
DOIs	https://doi.org/10.1007/978-3-540-30132-5_105
State	Published - 2004
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3213
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Keywords

Approximate Space
Image Texture
Rough Set

Access to Document

10.1007/978-3-540-30132-5_105

Cite this

Zheng, Z., Hu, H., & Shi, Z. (2004). Rough set based image texture recognition algorithm. In M. G. Negoita, R. J. Howlett, & L. C. Jain (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 772-778). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3213). Springer Verlag. https://doi.org/10.1007/978-3-540-30132-5_105

Zheng, Zheng ; Hu, Hong ; Shi, Zhongzhi. / Rough set based image texture recognition algorithm. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Mircea Gh. Negoita ; Robert J. Howlett ; Lakhmi C. Jain. Springer Verlag, 2004. pp. 772-778 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In this paper, rough set theory is applied to image texture recognition. Based on rough set and generalized approximate space, we develop a rough set based image texture recognition algorithm. We compare it with some other algorithms and the results show that our algorithm is effective and efficient.",

keywords = "Approximate Space, Image Texture, Rough Set",

author = "Zheng Zheng and Hong Hu and Zhongzhi Shi",

year = "2004",

doi = "10.1007/978-3-540-30132-5\_105",

language = "英语",

isbn = "9783540301325",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "772--778",

editor = "Negoita, \{Mircea Gh.\} and Howlett, \{Robert J.\} and Jain, \{Lakhmi C.\}",

booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

address = "德国",

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Zheng, Z, Hu, H & Shi, Z 2004, Rough set based image texture recognition algorithm. in MG Negoita, RJ Howlett & LC Jain (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3213, Springer Verlag, pp. 772-778. https://doi.org/10.1007/978-3-540-30132-5_105

Rough set based image texture recognition algorithm. / Zheng, Zheng; Hu, Hong; Shi, Zhongzhi.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Mircea Gh. Negoita; Robert J. Howlett; Lakhmi C. Jain. Springer Verlag, 2004. p. 772-778 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3213).

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

TY - CHAP

T1 - Rough set based image texture recognition algorithm

AU - Zheng, Zheng

AU - Hu, Hong

AU - Shi, Zhongzhi

PY - 2004

Y1 - 2004

N2 - Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In this paper, rough set theory is applied to image texture recognition. Based on rough set and generalized approximate space, we develop a rough set based image texture recognition algorithm. We compare it with some other algorithms and the results show that our algorithm is effective and efficient.

AB - Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In this paper, rough set theory is applied to image texture recognition. Based on rough set and generalized approximate space, we develop a rough set based image texture recognition algorithm. We compare it with some other algorithms and the results show that our algorithm is effective and efficient.

KW - Approximate Space

KW - Image Texture

KW - Rough Set

UR - https://www.scopus.com/pages/publications/35048841642

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DO - 10.1007/978-3-540-30132-5_105

M3 - 章节

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SN - 9783540301325

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 772

EP - 778

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

A2 - Negoita, Mircea Gh.

A2 - Howlett, Robert J.

A2 - Jain, Lakhmi C.

PB - Springer Verlag

ER -

Zheng Z, Hu H, Shi Z. Rough set based image texture recognition algorithm. In Negoita MG, Howlett RJ, Jain LC, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 772-778. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-30132-5_105

Rough set based image texture recognition algorithm

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