Novel local information kernelized fuzzy C ‐means algorithm for image segmentation-Reference-Cited by-同舟云学术

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Novel local information kernelized fuzzy C ‐means algorithm for image segmentation

Published:2020-09-30 Issue:2 Volume:31 Page:786-801
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Technol

Author:

Li Songcheng¹^ORCID,Lu Junyong¹,Cheng Long¹,Li Xiangping¹

Affiliation:

1. National Key Laboratory of Science and Technology on Vessel Integrated Power System Naval University of Engineering Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22491

Reference38 articles.

1. A review on brain structures segmentation in magnetic resonance imaging

2. Some methods for classification and analysis of MultiVariate observations;Macqueen J;Proc Berkeley Symp Math Stat Prob,1967

3. Interval Type‐2 fuzzy sampled‐data H∞ control for nonlinear unreliable networked control systems;Du Z;IEEE Trans Fuzzy Syst,2019

4. An input delay approach to interval Type‐2 fuzzy exponential stabilization for nonlinear unreliable networked sampled‐data control systems;Du Z;IEEE Trans Syst Man Cyber: Syst,2019

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