| 基于Markov随机场的运动目标快速分割 |
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| 引用本文： | 陈文楷,张利洲,张青竹,曾涛,崔刚.基于Markov随机场的运动目标快速分割[J].微计算机应用,2007,28(7):673-677. |
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| 作者姓名： | 陈文楷 张利洲 张青竹 曾涛 崔刚 |
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| 作者单位： | 北京工业大学电子信息与控制工程学院,北京,100022 |
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| 摘 要： | 提出了一种基于MRF模型自适应运动目标图像分割方法，该法采用高斯混合模型描述视频序列的差分图像，用模拟退火快速EM算法对高斯分布的参数进行估计，在此基础上建立MRF模型，利用此模型构建能量函数，ICM算法把图像用一个能量函数取到最小值的组态来表示。
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| 关 键 词： | 运动目标图像分割 模拟退火快速EM算法 马尔可夫随机场 ICM算法 |
| 修稿时间： | 2005-10-10 |
Segmentation of Moving Object Based on Markov Random Field |
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| CHEN Wenkai,ZHANG Lizhou,ZHANG Qingzu,ZENG Tao,CUI Gang.Segmentation of Moving Object Based on Markov Random Field[J].Microcomputer Applications,2007,28(7):673-677. |
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| Authors: | CHEN Wenkai ZHANG Lizhou ZHANG Qingzu ZENG Tao CUI Gang |
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| Abstract: | One self - adapted segmentation method for moving object is applied in this chapter. We use Mixed Gauss Model to describe the difference of serial images and estimate parameters of Gauss Model by adopting Annealing and Adapted EM algorithm. Markov Random Field Model is established on the basis of that estimation. Energy functions are constructed according to Markov Random Field Model. Image is expressed by a configuration when the total energy function value is maximized by adopting ICM Algorithm. |
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| Keywords: | Segmentation of Moving Object Annealing and Adapted EM Algorithm Markov Random Field ICM Algorithm |
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