A Robust Fuzzy Local Information C-Means Clustering Algorithm

DOI10.1109/TIP.2010.2040763zbMath1371.68306WikidataQ48906087 ScholiaQ48906087MaRDI QIDQ5366354

Stelios Krinidis, Vassilios Chatzis

Publication date: 9 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10) Multivariate analysis and fuzziness (62H86)

Related Items (22)

Improved clustering algorithms for image segmentation based on non-local information and back projection ⋮ Segmentation of brain tissues from magnetic resonance images using adaptively regularized kernel-based fuzzy \(C\)-means clustering ⋮ A multiphase image segmentation based on fuzzy membership functions and L1-norm fidelity ⋮ A color texture image segmentation method based on fuzzy c-means clustering and region-level Markov random field model ⋮ Interval type-2 possibilistic fuzzy clustering noisy image segmentation algorithm with adaptive spatial constraints and local feature weighting \& clustering weighting ⋮ A robust contextual fuzzy c-means clustering algorithm for noisy image segmentation ⋮ A novel edge-weight based fuzzy clustering method for change detection in SAR images ⋮ Change detection in synthetic aperture radar images based on fuzzy active contour models and genetic algorithms ⋮ Incorporating spatial context into fuzzy-possibilistic clustering using Bayesian inference ⋮ An efficient SAR image segmentation framework using transformed nonlocal mean and multi-objective clustering in kernel space ⋮ A novel kernelized total Bregman divergence-based fuzzy clustering with local information for image segmentation ⋮ An efficient bi-convex fuzzy variational image segmentation method ⋮ A fuzzy edge-weighted centroidal Voronoi tessellation model for image segmentation ⋮ A modified brain MR image segmentation and bias field estimation model based on local and global information ⋮ Generalised kernel weighted fuzzy c-means clustering algorithm with local information ⋮ Spatially constrained Student's \(t\)-distribution based mixture model for robust image segmentation ⋮ A conditionally invariant mathematical morphological framework for color images ⋮ A robust bias-correction fuzzy weighted C-ordered-means clustering algorithm ⋮ Ensemble Empirical Mode Decomposition and Sparsity Measurement as Tools Enhancing the Gear Diagnostic Capabilities of Time Synchronous Averaging ⋮ Improved FCM algorithm for fisheye image cluster analysis for tree height calculation ⋮ Automatic detection of tumor cell in brain MRI using rough-fuzzy feature selection with support vector machine and morphological operation ⋮ Quantum-inspired ant lion-optimized hybrid fuzzy c-means method for fuzzy clustering and image segmentation

This page was built for publication: A Robust Fuzzy Local Information C-Means Clustering Algorithm