Fuzzy c-means clustering with non local spatial information for noisy image segmentation
type: Item
instance of: scholarly article
title: Fuzzy c-means clustering with non local spatial information for noisy image segmentation
zbMATH Open document ID: 1267.68198
author: Hanqiang Liu
author: Feng Zhao
author: Licheng Jiao
published in: Frontiers of Computer Science in China
publication date: 2013-07-04T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68U10
Mathematics Subject Classification ID: 92C55
zbMATH DE Number: 6183859
zbMATH Keywords: image segmentation
zbMATH Keywords: fuzzy clustering algorithm
zbMATH Keywords: non local spatial information
zbMATH Keywords: magnetic resonance (MR) image
MaRDI profile type: Publication
full work available at URL: s11704-010-0393-8
OpenAlex ID: W1967584880
cites work: A clustering fuzzy approach for image segmentation
cites work: Geometric Level Set Methods in Imaging, Vision, and Graphics
cites work: Q3969900
cites work: Fast and robust fuzzy \(c\)-means clustering algorithms incorporating local information for image segmentation
cites work: A Review of Image Denoising Algorithms, with a New One
cites work: Cluster Validity with Fuzzy Sets
DOI: 10.1007/S11704-010-0393-8
description: scientific article; zbMATH DE number 6183859