Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

A NEW NEUTROSOPHICAPPRAOCH TO IMAGE THRESHOLDING

Authors
Yanhui Guo1, H.D. Cheng, Yingtao Zhang, Wei Zhao
1School of Computer Science and technology
Corresponding Author
Yanhui Guo
Available Online December 2008.
DOI
10.2991/jcis.2008.41How to use a DOI?
Keywords
Neutrsophic set, Maximum entropy, Image threshold.
Abstract

A neutrosophic set (Ns), a part of neutro-sophy theory, studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. The neutrosophic set is a power-ful general formal framework that has been recently proposed. However, the neutrosophic set needs to be specified from a technical point of view. We apply the neutrosophic set in image domain and define some concepts and operations for image thresholding. The image G is transformed into Ns domain, which is described using three subsets T, I and F. The entropy in neutro-sophic set is defined and employed to evaluate the indetermination. A new l-mean operation is proposed to reduce the set’s indetermination. Finally, the pro-posed method is employed to perform image thresholding. We have conducted experiments on a variety of images. The experimental results demonstrate that the proposed approach can select the thresh-olds automatically and effectively. Espe-cially, it can process the “clean” images, the images with different kind of noise and the images with multiple kinds of noise well without knowing the type of the noise, which is the most difficult task for image thresholding.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
10.2991/jcis.2008.41
ISSN
1951-6851
DOI
10.2991/jcis.2008.41How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanhui Guo
AU  - H.D. Cheng
AU  - Yingtao Zhang
AU  - Wei Zhao
PY  - 2008/12
DA  - 2008/12
TI  - A NEW NEUTROSOPHICAPPRAOCH TO IMAGE THRESHOLDING
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 238
EP  - 243
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.41
DO  - 10.2991/jcis.2008.41
ID  - Guo2008/12
ER  -