| 一种基于DA-STMRF模型的运动目标分割方法 |
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| 引用本文： | 肖传民,史泽林,亓琳.一种基于DA-STMRF模型的运动目标分割方法[J].计算机应用,2008,28(9):2440-2442. |
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| 作者姓名： | 肖传民 史泽林 亓琳 |
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| 作者单位： | 1. 中国科学院,沈阳自动化研究所,沈阳,110016;中国科学院,研究生院,北京,100039
2. 中国科学院,沈阳自动化研究所,沈阳,110016 |
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| 基金项目： | 中国科学院知识创新工程项目 |
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| 摘 要： | 为克服传统的时空马尔可夫随机场模型中全局一致平滑约束引起的过平滑，根据间断自适应的思想，结合边缘信息,提出了一种基于间断自适应时空马尔可夫随机场模型的运动目标分割方法。帧差图像二值化得到初始标记场，初始标记场进行“与”操作获得共同标记场，通过构造相应的能量函数，用Metroplis采样器算法实现共同标记场的优化。通过实验验证了该算法的有效性。
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| 关 键 词： | 图像分割 马尔可夫随机场 间断自适应 |
| 收稿时间： | 2008-04-08 |
Moving object segmentation technology based on DA-STMRF model |
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| XIAO Chuan-min,SHI Ze-lin,QI Lin.Moving object segmentation technology based on DA-STMRF model[J].journal of Computer Applications,2008,28(9):2440-2442. |
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| Authors: | XIAO Chuan-min SHI Ze-lin QI Lin |
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| Affiliation: | XIAO Chuan-min1,2,SHI Ze-lin1,QI Lin1,2(1.Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang Liaoning 110016,China,2.Graduate University of Chinese Academy of Sciences,Beijing 100039,China) |
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| Abstract: | In order to avoid the drawback of over-smoothness in the conventional Spatiotemporal Markov Random Field(MRF) model,a moving object segmentation technology based on Discontinuity Adaptive-Spatiotemporal Markov Random Field(DA-STMRF) model was proposed.Initial labels were derived after frame difference images were converted to binary images,and the AND-label was obtained with the AND-operation on the two initial labels.After constructing corresponding energy functions,we used metroplis sampler algorithm to o... |
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| Keywords: | image segmentation Markov Random Field (MRF) discontinuity-adaptive |
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