Application of the rough set to image median denoising

Bo Chen; Zexun Geng; Yang Yang; Xiaosong Liu

doi:10.1109/SNPD.2007.177

Application of the rough set to image median denoising

Bo Chen^*
, Zexun Geng
, Yang Yang
, Xiaosong Liu

^*Corresponding author for this work

Information Engineering University
Guilin Air Force Academy

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

Abstract

Image denoising that is a kind of basal pretreatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.

Original language	English
Title of host publication	Proceedings - SNPD 2007
Subtitle of host publication	Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Pages	75-78
Number of pages	4
DOIs	https://doi.org/10.1109/SNPD.2007.177
State	Published - 2007
Externally published	Yes
Event	SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing - Qingdao, China Duration: 30 Jul 2007 → 1 Aug 2007

Publication series

Name	Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Volume	1

Conference

Conference	SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing
Country/Territory	China
City	Qingdao
Period	30/07/07 → 1/08/07

Access to Document

10.1109/SNPD.2007.177

Cite this

Chen, B., Geng, Z., Yang, Y., & Liu, X. (2007). Application of the rough set to image median denoising. In Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (pp. 75-78). Article 4287477 (Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing; Vol. 1). https://doi.org/10.1109/SNPD.2007.177

Chen, Bo ; Geng, Zexun ; Yang, Yang et al. / Application of the rough set to image median denoising. Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. 2007. pp. 75-78 (Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing).

@inproceedings{41e8359829d0430d95358abfa01748cf,

title = "Application of the rough set to image median denoising",

abstract = "Image denoising that is a kind of basal pretreatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.",

author = "Bo Chen and Zexun Geng and Yang Yang and Xiaosong Liu",

year = "2007",

doi = "10.1109/SNPD.2007.177",

language = "英语",

isbn = "0769529097",

series = "Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing",

pages = "75--78",

booktitle = "Proceedings - SNPD 2007",

note = "SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing ; Conference date: 30-07-2007 Through 01-08-2007",

}

Chen, B, Geng, Z, Yang, Y & Liu, X 2007, Application of the rough set to image median denoising. in Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing., 4287477, Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, vol. 1, pp. 75-78, SNPD 2007: 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, Qingdao, China, 30/07/07. https://doi.org/10.1109/SNPD.2007.177

Application of the rough set to image median denoising. / Chen, Bo; Geng, Zexun; Yang, Yang et al.
Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. 2007. p. 75-78 4287477 (Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing; Vol. 1).

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

TY - GEN

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AU - Chen, Bo

AU - Geng, Zexun

AU - Yang, Yang

AU - Liu, Xiaosong

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N2 - Image denoising that is a kind of basal pretreatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.

AB - Image denoising that is a kind of basal pretreatment can improve visual effect of original images. Rough set is a new mathematical tool to deal with problems on vagueness and uncertainty. It is regarded as a soft computation method. Being the same as fuzzy method, genetic algorithm, neural networks, it is an intellective information processing method. Rough set applies to gray image, and a new image median denoising algorithm based on rough set (RSMD) is proposed in this paper. Comparing experiments are done using classical median denoising (CMD) and the denoising algorithm presented in this paper. Experimental results show that the new algorithm denoising outperforms the classical median denoising.

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M3 - 会议稿件

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ER -

Chen B, Geng Z, Yang Y, Liu X. Application of the rough set to image median denoising. In Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing. 2007. p. 75-78. 4287477. (Proceedings - SNPD 2007: Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing). doi: 10.1109/SNPD.2007.177

Application of the rough set to image median denoising

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