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| 基于马尔可夫随机场的改进Metropolis混凝土CT的图像分割方法 | |
| 引用本文： | 赵亮,李昌华,党发宁,陈登峰,徐胜君.基于马尔可夫随机场的改进Metropolis混凝土CT的图像分割方法[J].光子学报,2014,39(9):1693-1696. |
| 作者姓名： | 赵亮 李昌华 党发宁 陈登峰 徐胜君 |
| 作者单位： | (1 西安建筑科技大学 信息与控制工程学院,西安 710055） (2 西安理工大学 岩土工程研究所,西安 710048） |
| 基金项目： | 国家自然科学基金(50878176、50679073)、国家自然科学基金重点项目（90510017）和西安市科技局计划项目（CXY1014（3））资助 |
| 摘 要： | 提出一种基于马尔可夫随机场改进的Metropolis模拟退火算法.该算法中阈值α的选取优化了Metropolis算法.根据Beyes理论将图像分割问题转化为最大后验概率求取问题,并给出了参量预测算法.在实验中,将本文提出的算法与ICM、传统的Metropolis和Gibbs采样模拟退火算法进行比较.结果表明改进的Metropolis算法在图像分割效率和分割准确度上都有明显的提高.通过混凝土CT图像分割实验,改进Metropolis的应用能够较完整地反映出混凝土材料的内部结构和缺陷. |
| 关 键 词： | 马尔可夫随机场 改进的Metropolis 图像分割 混凝土CT |
| 收稿时间： | 2009-06-09 |
Concrete CT Image Modified Metropolis Dynamics Segmentation Method Based on Markov Random Field |
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| ZHAO Liang,LI Chang-hua,DANG Fa-ning,CHEN Deng-feng,XU Sheng-jun.Concrete CT Image Modified Metropolis Dynamics Segmentation Method Based on Markov Random Field[J].Acta Photonica Sinica,2014,39(9):1693-1696. | |
| Authors: | ZHAO Liang LI Chang-hua DANG Fa-ning CHEN Deng-feng XU Sheng-jun |
| Institution: | (1 Department of Information and Automation,Xi′an University of Architecture and Technology,Xi′an 710055,China) (2 Institute of Geotechnical Engineering,Xi′an University of Technology,Xi′an 710048,China) |
| Abstract: | A Modified Metropolis Dynamics (MMD) simulated annealing algorithm based on Markov Random Field (MRF) is proposed. Threshold α of the proposed algorithm optimized Metropolis arithmetic. Based on the Beyes theory,the segmentation issue is transformed to the Maximum A Posteriori (MAP) and the parameter prediction algorithm is provided. In the experiment,the proposed algorithm is compared with the traditional Metropolis algorithm,the Gibbs sampler and Iterated Conditional Mode (ICM),and the results show that the segmentation efficiency and segmentation accuracy of the proposed algorithm improve obviously. Through concrete CT image segmentation experiment,it is also found that the inner structure and defect of the concrete materials can be integrally reflected based on MMD. |
| Keywords: | Markov Random Field (MRF) Modified Metropolis Dynamics(MMD) Image segmentation Concrete CT |
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