Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning

Image segmentation is an active research topic in image processing. The Fuzzy C-means (FCM) clustering analysis has been widely used in image segmentation. As there is a large amount of delicate tissues such as blood vessels and nerves in medical images, noise generated during imaging process can ea...

Full description

Bibliographic Details

Published in:	Applied soft computing Vol. 91; p. 106200
Main Authors:	Miao, Jiaqing, Zhou, Xiaobing, Huang, Ting-Zhu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.06.2020
Subjects:	Algorithm of the noise reduction Dictionary learning Fuzzy C-means clustering Image segmentation MRI and CT Image segmentation Algorithm of the noise reduction Dictionary learning MRI and CT Fuzzy C-means clustering
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!