An efficient SAR image segmentation framework using transformed nonlocal mean and multi-objective clustering in kernel space

DOI10.3390/A8010032zbMath1461.94025OpenAlexW2171412496MaRDI QIDQ1736637

Rong Fei, Hui Yang, Dong-Dong Yang

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a8010032

zbMATH Keywords

principal component analysisartificial immune systemclonal selection algorithmSAR image segmentationnonlocal mean filter

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• MOCK

Cites Work

• Fast and robust fuzzy \(c\)-means clustering algorithms incorporating local information for image segmentation
• ADAPTIVE RANKS CLONE AND k-NEAREST NEIGHBOR LIST-BASED IMMUNE MULTI-OBJECTIVE OPTIMIZATION
• Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising
• Iterative Weighted Maximum Likelihood Denoising With Probabilistic Patch-Based Weights
• A Robust Fuzzy Local Information C-Means Clustering Algorithm
• Multiregion Image Segmentation by Parametric Kernel Graph Cuts
• Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation

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