Fuzzy image clustering incorporating local and region-level information with median memberships

A multimodal particle swarm optimization-based approach for image segmentation

(2020) Taymaz Rahkar Farshi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automatic segmentation model combining U-Net and level set method for medical images

(2020) Yunyun Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Kernel-Based Robust Bias-Correction Fuzzy Weighted C-Ordered-Means Clustering Algorithm

(2019) Wenyuan Zhang et al.   Symmetry-Basel

Robust brain magnetic resonance image segmentation using modified rough-fuzzy C-means with spatial constraints

(2019) Anindya Halder et al.   APPLIED SOFT COMPUTING

Adaptive entropy weighted picture fuzzy clustering algorithm with spatial information for image segmentation

(2019) Chengmao Wu et al.   APPLIED SOFT COMPUTING

Generalised kernel weighted fuzzy C-means clustering algorithm with local information

(2018) Kashif Hussain Memon et al.   FUZZY SETS AND SYSTEMS

Enhanced Spatially Constrained Remotely Sensed Imagery Classification Using a Fuzzy Local Double Neighborhood Information C-Means Clustering Algorithm

(2018) Hua Zhang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering

(2018) Tao Lei et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Noise Robust Multi-objective Evolutionary Clustering Image Segmentation Motivated by Intuitionistic Fuzzy Information

(2018) Feng Zhao et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Convolutional Oriented Boundaries: From Image Segmentation to High-Level Tasks

(2018) Kevis-Kokitsi Maninis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Possibilistic fuzzy clustering with high-density viewpoint

(2018) Yiming Tang et al.   NEUROCOMPUTING

Superpixel-Based Fast Fuzzy C-Means Clustering for Color Image Segmentation

(2018) Tao Lei et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Fuzzy weighted C-ordered means clustering algorithm

(2017) Krzysztof Siminski   FUZZY SETS AND SYSTEMS

AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification

(2017) Gui-Song Xia et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Fast Unsupervised Bayesian Image Segmentation With Adaptive Spatial Regularisation

(2017) Marcelo Pereyra et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Partial Membership Latent Dirichlet Allocation for Soft Image Segmentation

(2017) Chao Chen et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

(2017) Jordi Pont-Tuset et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Unsupervised hierarchical image segmentation through fuzzy entropy maximization

(2017) Shibai Yin et al.   PATTERN RECOGNITION

An improved intuitionistic fuzzy c-means clustering algorithm incorporating local information for brain image segmentation

(2016) Hanuman Verma et al.   APPLIED SOFT COMPUTING

Adaptive fuzzy c-means algorithm based on local noise detecting for image segmentation

(2016) Fang-Fang Guo et al.   IET Image Processing

Robust fuzzy clustering using nonsymmetric student׳s t finite mixture model for MR image segmentation

(2016) Hongqing Zhu et al.   NEUROCOMPUTING

Image segmentation using CUDA accelerated non-local means denoising and bias correction embedded fuzzy c-means (BCEFCM)

(2016) Chaolu Feng et al.   SIGNAL PROCESSING

Segmentation of Brain Tissues from Magnetic Resonance Images Using Adaptively Regularized Kernel-Based FuzzyC-Means Clustering

(2015) Ahmed Elazab et al.   Computational and Mathematical Methods in Medicine

Incorporating Adaptive Local Information Into Fuzzy Clustering for Image Segmentation

(2015) Guoying Liu et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

NCM: Neutrosophic c-means clustering algorithm

(2015) Yanhui Guo et al.   PATTERN RECOGNITION

Neighbourhood weighted fuzzy c-means clustering algorithm for image segmentation

(2014) Zhao Zaixin et al.   IET Image Processing

Comments on “A Robust Fuzzy Local Information C-Means Clustering Algorithm”

(2012) Turgay Celik et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation

(2012) Maoguo Gong et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Fuzzy clustering algorithms with self-tuning non-local spatial information for image segmentation

(2012) Feng Zhao   NEUROCOMPUTING

A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional

(2011) Sotirios P. Chatzis   EXPERT SYSTEMS WITH APPLICATIONS

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation

A Robust Fuzzy Local Information C-Means Clustering Algorithm

(2010) Stelios Krinidis et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Fuzzy c-means clustering with non local spatial information for noisy image segmentation

(2010) Feng Zhao et al.   Frontiers of Computer Science in China

Enhanced soft subspace clustering integrating within-cluster and between-cluster information

(2009) Zhaohong Deng et al.   PATTERN RECOGNITION

A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation

(2008) S.P. Chatzis et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS