Image segmentation by generalized hierarchical fuzzy C-means algorithm

2015450 citationsJournal Article

Authors

Yuhui Zheng · Nanjing University of Information Science and Technology

Byeungwoo Jeon · Sungkyunkwan University

Danhua Xu · Nanjing University of Information Science and Technology

Q. M. Jonathan Wu · University of Windsor

Hui Zhang · Nanjing University of Information Science and Technology

Abstract

Fuzzy c-means (FCM) has been considered as an effective algorithm for image segmentation. However, it still suffers from two problems: one is insufficient robustness to image noise, and the other is the Euclidean distance in FCM, which is sensitive t

Topics & Keywords

Remote-Sensing Image Classification Face and Expression Recognition Multi-Criteria Decision Making

Publication Details

Published in: Journal of Intelligent & Fuzzy Systems

Volume 28, Issue 2, pp. 961-973

DOI: 10.3233/ifs-141378

Field-Weighted Citation Impact: 145.13

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Image segmentation by generalized hierarchical fuzzy C-means algorithm

Authors

Abstract

Topics & Keywords

Publication Details