| 基于模糊聚类的图像分割研究进展 |
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| 引用本文： | 雷涛,张肖,加小红,刘侍刚,张艳宁.基于模糊聚类的图像分割研究进展[J].电子学报,2019,47(8):1776-1791. |
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| 作者姓名： | 雷涛 张肖 加小红 刘侍刚 张艳宁 |
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| 作者单位： | 陕西科技大学电子信息与人工智能学院,陕西西安 710021;西北工业大学计算机科学学院,陕西西安 710072;陕西科技大学电气与控制工程学院,陕西西安,710021;陕西师范大学计算机科学学院,陕西西安,710062;西北工业大学计算机科学学院,陕西西安,710072 |
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| 基金项目： | 国家自然科学基金;国家自然科学基金;国家自然科学基金;国家自然科学基金;国家自然科学基金 |
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| 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.
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| 关 键 词： | 图像分割 模糊聚类算法 邻域信息 直方图 隐马尔科夫模型 |
| 收稿时间： | 2018-08-07 |
Research Progress on Image Segmentation Based on Fuzzy Clustering |
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| LEI Tao,ZHANG Xiao,JIA Xiao-hong,LIU Shi-gang,ZHANG Yan-ning.Research Progress on Image Segmentation Based on Fuzzy Clustering[J].Acta Electronica Sinica,2019,47(8):1776-1791. |
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| Authors: | LEI Tao ZHANG Xiao JIA Xiao-hong LIU Shi-gang ZHANG Yan-ning |
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| Affiliation: | 1. School of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China;
2. School of Electronical and Control Engineering, Shaanxi University of Science and Technology, Xi'an, Shaanxi 710021, China;
3. School of Computer Science, Shaanxi Normal University, Xi'an, Shaanxi 710062, China;
4. School of Computer Science, Northwestern Polytechnical University, Xi'an, Shaanxi 710072, China |
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| 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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| Keywords: | image segmentation fuzzy c-means clustering neighboring information histogram Hidden Markov model |
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