An Efficient SAR Image Segmentation Framework Using Transformed Nonlocal Mean and Multi-Objective Clustering in Kernel Space-Reference-Cited by-同舟云学术

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An Efficient SAR Image Segmentation Framework Using Transformed Nonlocal Mean and Multi-Objective Clustering in Kernel Space

Published:2015-02-09 Issue:1 Volume:8 Page:32-45
ISSN:1999-4893
Container-title:Algorithms
language:en
Short-container-title:Algorithms

Author:

Yang Dongdong,Yang Hui,Fei Rong

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Link

http://www.mdpi.com/1999-4893/8/1/32/pdf

Reference24 articles.

1. Understanding Synthetic Aperture Radar Images;Oliver,1988

2. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data;Ahmed;IEEE Trans. Med. Image.,2002

3. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure;Chen;IEEE Trans. Syet. Man Cybern. Part B Cybern.,2004

4. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation;Cai;Pattern Recognit.,2007

5. A robust fuzzy local information c-means clustering algorithm;Krinidis;IEEE Trans. Image Process.,2010

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1. An Empirical Study of Cluster-Based MOEA/D Bare Bones PSO for Data Clustering †;Algorithms;2021-11-22

2. Two-stage SAR image segmentation framework with an efficient union filter and multi-objective kernel clustering;Applied Soft Computing;2016-07

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