电子学报 ›› 2010, Vol. 38 ›› Issue (2A): 76-82.

• 学术论文 • 上一篇    下一篇

图像分割的新理论和新方法

许新征;丁世飞;史忠植;贾伟宽   

  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)
  • 收稿日期:2009-03-01 修回日期:2009-10-10 出版日期:2010-05-26 发布日期:2010-05-26

New Theories and Methods of Image Segmentation

XU Xin-zheng,DING Shi-fei,SHI Zhong-zhi,JIA Wei-kuan   

  • Received:2009-03-01 Revised:2009-10-10 Online:2010-05-26 Published:2010-05-26

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.

关键词: 图像分割, 粒度, 免疫算法, 图论, 神经网络, 支持向量机

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.

Key words: image segmentation, granular, immune algorithm, graph theory, neural network, support vector machine

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