| 图像分割研究进展 |
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| 引用本文： | 陈晓丹,李思明.图像分割研究进展[J].电脑与微电子技术,2013(22):33-36. |
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| 作者姓名： | 陈晓丹 李思明 |
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| 作者单位： | [1]成都学院（成都大学）信息科学与技术学院,成都610106 [2]成都理工大学信息科学与技术学院,成都610051 |
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| 基金项目： | 成都理工大学教育教学研究项目（No.XJG1118） |
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| 摘 要： | 至今提出的分割算法有上千种,而新的算法还在不断被提出。从图像分割实际应用的角度,或者从图像分割中使用的特定的理论工具的角度,可以对图像分割进行分类。Otsu算法、基于聚类的图像分割方法、运动分割、基于图论的图像分割方法和基于活动轮廓的图像分割方法是图像分割的主要研究领域,自然计算算法已成为图像分割新的研究热点。
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| 关 键 词： | 图像分割 分类 |
Research on Progress in Image Segmentation |
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| Authors: | CHEN Xiao-dan;LI Si-ming |
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| Affiliation: | CHEN Xiao-dan;LI Si-ming;College of Information Science and Technology, Chengdu University;College of Information Science and Technology, Chengdu University of Technology; |
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| Abstract: | Thousands of image segmentation algorithms have been proposed so far, and new algorithms are proposed continuously. Image segmentation can be classified by the view of image segmentation application, or by the theoretical tool used in image segmentation. The main research fields including Otsu method, clustering, motion segmentation, image segmentation method based on graph theory and image segmentation method based on active contour. Natural computing algorithm has become a new hotspot of image segmentation. |
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| Keywords: | Image Segmentation Classification |
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