New Theories and Methods of Image Segmentation

FONT face; Verdana; XU Xin-zheng; DING Shi-fei; SHI Zhong-zhi; JIA Wei-kuan; FONT

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New Theories and Methods of Image Segmentation

更新时间：2025-07-16

- New Theories and Methods of Image Segmentation
- Acta Electronica Sinica Vol. 38, Issue 2A, Pages: 76-82(2010)
- 作者机构：
  
  1. 1．中国矿业大学计算机科学与技术学院,江苏,徐州,221119
  2. 中国科学院计算技术研究所智能信息处理重点实验室,北京,100190
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2010
- 稿件说明：
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FONT face, Verdana, XU Xin-zheng, et al. New Theories and Methods of Image Segmentation[J]. Acta Electronica Sinica, 2010, 38(2A): 76-82.
DOI：

FONT face, Verdana, XU Xin-zheng, et al. New Theories and Methods of Image Segmentation[J]. Acta Electronica Sinica, 2010, 38(2A): 76-82. DOI：

摘要

图像分割是是计算机视觉研究中的一个经典难题，已成为图像理解领域关注的一个热点.本文对近年来图像分割方法的研究现状与新进展进行了归纳总结.首先，简单介绍了图像分割的传统方法，包括基于区域的、基于边缘的和两者结合的图像分割方法.然后，分别从数学形态学、模糊集、神经网络、支持向量机、免疫算法、图论和粒度计算等方面对图像分割方法进行了重点讨论，并对应用每一种理论的最新研究进展作了评述.最后，对图像分割方法的发展趋势进行了展望.

Abstract

Image segmentation is a classic problem in computer vision

and become a hot topic in the field of image understanding.The research actuality and new progress in image segmentation in recent years are summarized in this paper.Firstly

the traditional methods of image segmentation are introduced summarily.Then

the specific theory for image segmentation

including morphology

fuzzy sets and neural network

support vector machine

immune algorithm

graph theory and granular computing

are presented emphatically.Furthermore

several new representative papers with the application of each theory are analyzed and discussed.Finally

the development trend of image segmentation method is discussed.

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