Research Progress on Image Segmentation Based on Fuzzy Clustering

LEI Tao; ZHANG Xiao; JIA Xiao-hong; LIU Shi-gang; ZHANG Yan-ning

doi:10.3969/j.issn.0372-2112.2019.08.023

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Research Progress on Image Segmentation Based on Fuzzy Clustering

更新时间：2025-07-16

- Research Progress on Image Segmentation Based on Fuzzy Clustering
- Acta Electronica Sinica Vol. 47, Issue 8, Pages: 1776-1791(2019)
- 作者机构：
  
  1. 陕西科技大学电子信息与人工智能学院,陕西,西安,710021
  2. 陕西科技大学电气与控制工程学院,陕西,西安,710021
  3. 陕西师范大学计算机科学学院,陕西,西安,710062
  4. 西北工业大学计算机科学学院,陕西,西安,710072
  5. 陕西科技大学电子信息与人工智能学院,陕西,西安,710021
  6. 陕西科技大学电气与控制工程学院,陕西,西安,710021
  7. 陕西师范大学计算机科学学院,陕西,西安,710062
  8. 西北工业大学计算机科学学院,陕西,西安,710072
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61871259, No.61811530325, No.61461025, No.61672333, No.61873155)
- DOI：10.3969/j.issn.0372-2112.2019.08.023
  CLC： TP391.41
- Published Online：25 August 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
LEI Tao, ZHANG Xiao, JIA Xiao-hong, et al. Research Progress on Image Segmentation Based on Fuzzy Clustering[J]. Acta Electronica Sinica, 2019, 47(8): 1776-1791.
DOI：

LEI Tao, ZHANG Xiao, JIA Xiao-hong, et al. Research Progress on Image Segmentation Based on Fuzzy Clustering[J]. Acta Electronica Sinica, 2019, 47(8): 1776-1791. DOI： 10.3969/j.issn.0372-2112.2019.08.023.

摘要

模糊聚类算法（Fuzzy C-Means，FCM）是一种基于软划分的聚类过程，已被广泛应用于机器学习、图像处理和计算机视觉等领域.虽然当前已涌现出大量关于FCM的图像分割算法，但仍然面临诸多挑战.本文将基于FCM的图像分割算法归纳为三类：基于空间邻域信息的FCM算法、基于直方图信息的快速FCM算法及基于维度加权的FCM算法.首先系统分析和阐述了各类FCM算法的研究现状，然后通过实验分析各类算法的性能，最后总结了FCM算法在图像分割中存在的问题以及将来的研究方向.

Abstract

Fuzzy c-means (FCM) algorithm is a clustering process based on soft partitioning

and it has been widely used in machine learning

image processing and computer vision. Although a large number of image segmentation algorithms based on FCM have been proposed

it is still a challenge research topic to research image segmentation based on fuzzy clustering. In this paper

image segmentation algorithms based on FCM are roughly grouped into three categories: FCM algorithms based on spatial neighboring information

FCM algorithms based on histogram information

and FCM algorithms based on dimension weight. We firstly analyze and elaborate the current research on FCM algorithms. Afterwards

we analyze the performance of different algorithms according to experiments.Finally

we conclude the drawbacks of image segmentation algorithms based on FCM and the future research direction.

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