| 基于Mean-Shift聚类的交互式图像分割 |
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| 引用本文： | 李丽君.基于Mean-Shift聚类的交互式图像分割[J].科学技术与工程,2011(25):6095-6097. |
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| 作者姓名： | 李丽君 |
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| 作者单位： | 辽宁石油化工大学理学院,抚顺,113001 |
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| 摘 要： | 提出了一种基于Mean-shift聚类的交互式图像分割算法。首先利用Mean-shift聚类算法初步分割图像,然后用户只需简单地输入交互信息,大致标识出部分对象点和背景点,再根据区域间的最大相似性准则合并区域,分割出感兴趣区域。实验表明,此算法简单有效,能准确地从复杂背景中提取对象轮廓。
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| 关 键 词： | Mean-shift聚类 交互式分割 区域合并 |
| 收稿时间： | 4/27/2011 7:40:42 AM |
| 修稿时间： | 5/20/2011 3:43:01 PM |
Interactive Image Segmentation Based on Mean-Shift Cluster |
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| LI Li-jun.Interactive Image Segmentation Based on Mean-Shift Cluster[J].Science Technology and Engineering,2011(25):6095-6097. |
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| Authors: | LI Li-jun |
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| Institution: | LI Li-jun(Science College,Liaoning Shihua University,Fushun 113001,P.R.China) |
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| Abstract: | An interactive image segmentation algorithm based on Mean-Shift cluster was proposed. Firstly, image was segmented coarsely by Mean-Shift cluster algorithm. Secondly, users only need to input interactive information simply and indicate the location of object points and background points roughly. Finally, maximal similarity principle based on region merging was used to segment region of interest. Experimental results show this method is simple and effective, and can extract object counter from complex background exactly. |
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| Keywords: | Mean-Shift cluster interactive segmentation region merging |
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