| 结合分水岭机制的有监督图像背景分割算法 |
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| 引用本文： | 温雯,郝志峰,邵壮丰. 结合分水岭机制的有监督图像背景分割算法[J]. 计算机工程与应用, 2011, 47(21): 205-209. DOI: 10.3778/j.issn.1002-8331.2011.21.054 |
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| 作者姓名： | 温雯 郝志峰 邵壮丰 |
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| 作者单位： | 1.广东工业大学 计算机学院，广州 510006 2.华南理工大学 计算机科学与工程学院，广州 510641 3.中国电信广东网络操作维护中心，广州 510110 |
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| 基金项目： | 国家自然科学基金，广东省自然科学基金重点项目，广东高校优秀青年创新人才培育项目 |
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| 摘 要： | 传统的分水岭分割算法属于无监督的图像分割算法，分割获得的子区域往往不具备现实的语义信息。在分水岭分割的基础上，利用子区域像素值的高斯统计性质，提出了一种有监督的图像背景学习方法。该算法能够通过对少量人工标注的图像样本的学习，获得刻画背景子区域规律的统计模型。在此基础上对新图片中隶属于背景的子区域进行判断和合并，从而达到区分目标与背景的目的。实验验证了算法的有效性。
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| 关 键 词： | 背景学习 有监督 分割 分水岭算法 |
| 修稿时间： | |
Supervised background segmentation algorithm combined with watershed mechanism |
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| WEN Wen,HAO Zhifeng,SHAO Zhuangfeng. Supervised background segmentation algorithm combined with watershed mechanism[J]. Computer Engineering and Applications, 2011, 47(21): 205-209. DOI: 10.3778/j.issn.1002-8331.2011.21.054 |
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| Authors: | WEN Wen HAO Zhifeng SHAO Zhuangfeng |
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| Affiliation: | 1.School of Computer，Guangdong University of Technology，Guangzhou 510006，China 2.School of Computer Science and Engineering，South China University of Technology，Guangzhou 510641，China 3.Network Operation and Maintenance Center of Guangdong Telecom，Guangzhou 510110，China |
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| Abstract: | The traditional watershed segmentation algorithm is a kind of unsupervised segmentation algorithms,which produces sub-regions without semantic representation.A supervised image segmentation algorithm is proposed,which is based on Gaussian statistical property of sub-regions obtained by watershed segmentation.The proposed algorithm can learn the statistical model of background with a few labeled images,and then correctly separates the objects from background by merging the sub-regions which are judged members of the background.Experiments verify the validity of the proposed method. |
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| Keywords: | background learning supervised segmentation watershed algorithm |
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