11th Joint International Conference on Information Sciences

A Novel Image Segmentation Algorithm Based on Fuzzy C-means Algorithm and Neutrosophic Set

Authors
Yanhui Guo 0, H.D. Cheng, Wei Zhao, Yingtao Zhang
Corresponding Author
Yanhui Guo
0School of Computer Science and technology
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.44How to use a DOI?
Keywords
Image segmentation, fuzzy c-means, Neutrsophic set, Entropy.
Abstract
Image segment is an important step in image processing, pattern recognition and computer vision. Numerous algorithms have been proposed to in this field for last twenty years. However, a generalized segmentation method, especial for noisy image, are not studied greatly. A neutrosophic set (NS), a part of neu-trosophy theory, studies the origin, nature, and scope of neutralities, as well as their interactions with different ideational spectra. The neutrosophic set is a formal framework that has been recently pro-posed. However, the neutrosophic set needs to be specified from a technical point of view for a given application or field. We apply the neutrosophic set in image domain and define some concepts and operations for image segmentation. The image G is transformed into NS do-main. Then, the entropy in neutrosophic set is defined and employed to evaluate the indeterminancy. A new operation, -mean operation is proposed to reduce the set indeterminancy. Finally, a new fuzzy c-means algorithm, -fuzzy-c-means (-FCM) is proposed to segment the image on NS domain. We have conducted ex-periments on a variety of images. The ex-perimental results demonstrate that the proposed approach can segment the im-ages automatically and effectively. Espe-cially, it can process the “clean” images and the images with noise without know-ing its type, which is the most difficult task for image segmentation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yanhui Guo
AU  - H.D. Cheng
AU  - Wei Zhao
AU  - Yingtao Zhang
PY  - 2008/12
DA  - 2008/12
TI  - A Novel Image Segmentation Algorithm Based on Fuzzy C-means Algorithm and Neutrosophic Set
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.44
DO  - https://doi.org/10.2991/jcis.2008.44
ID  - Guo2008/12
ER  -