NDLI: Rough intuitionistic type-2 fuzzy c-means clustering algorithm for MR image segmentation

Content Provider	IET Digital Library
Author	Chen, Xiangjian Li, Di Wang, Xun Yang, Xibei Li, Hongmei
Abstract	In recent years, the clinical application of magnetic resonance (MR) images is more and more extensive and in-depth. However, image segmentation is a bottleneck to restrict the application of MR imaging in clinic, and the segmentation of brain MR images now is confronted with the presence of uncertainty and noise, and various kinds of algorithms have been proposed to handle this problem. In this study, a hybrid clustering algorithm combined with a new intuitionistic fuzzy factor and local spatial information is proposed, where type-2 fuzzy logic can handle randomness, the rough set can deal with vagueness, and the intuitionistic fuzzy logic can address the external noises. Finally, the experimental tests have been done to demonstrate the superiority of the proposed technique.
Starting Page	607
Ending Page	614
Page Count	8
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 4, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5597
Journal	IET Image Processing
Publisher Date	2018-12-18
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bottleneck Brain MR Image Clinic Clinical Application Combinatorial Mathematics Computer Vision And Image Processing Technique Extensive Depth External Noises Fuzzy Logic Fuzzy Set Theory Hybrid Clustering Algorithm Image Segmentation In-depth Intuitionistic Fuzzy Factor Intuitionistic Fuzzy Logic Local Spatial Information Magnetic Resonance Image MR Image Segmentation MR Imaging Noise Optical, Image And Video Signal Processing Pattern Clustering Rough Intuitionistic Type-2 Rough Set Type-2 Fuzzy Logic Uncertainty
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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