| 一种基于简化马尔可夫随机场的红外图像快速分割方法 |
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| 引用本文： | 刘秋让,黄慧敏,毛星锦. 一种基于简化马尔可夫随机场的红外图像快速分割方法[J]. 电子设计工程, 2011, 19(6): 157-161 |
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| 作者姓名： | 刘秋让 黄慧敏 毛星锦 |
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| 作者单位： | 1. 西北工业大学,计算机学院,陕西,西安,710129;西北工业大学图书馆,陕西,西安,710072
2. 西北工业大学,计算机学院,陕西,西安,710129 |
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| 摘 要： | 分析了传统的基于马尔可夫随机场图像分割算法收敛速度慢和固定加权等缺点,提出了一种基于简化马尔可夫随机场的红外图像快速分割算法。该算法首先对红外图像极大似然初始分割,并利用简化马尔可夫随机场对图像进行建模。在此基础上采用自适应的加权变化形式进行迭代,不但加速了分割算法的收敛速度,而且使得分割效果都大为改善。在真实的飞机和舰艇红外图像上,该算法都取得了较好的分割效果。
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| 关 键 词： | 红外图像分割 简化马尔可夫随机场 最大后验概率 迭代条件模型 |
A fast segmentation approach for infrared image based on simple Markov random field |
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| LIU Qiu-rang,HUANG Hui-min,MAO Xing-jin. A fast segmentation approach for infrared image based on simple Markov random field[J]. Electronic Design Engineering, 2011, 19(6): 157-161 |
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| Authors: | LIU Qiu-rang HUANG Hui-min MAO Xing-jin |
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| Affiliation: | 1(1.School of Computer,Northwestern Polytechnical University,Xi’an 710129,China; 2.Library of Northwestern Polytechnical University,Xi’an 710072,China) |
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| Abstract: | This paper analyzes the shortcomings of the traditional MRF-based image segmentation algorithm with slow convergence and fixed-weighted,then a fast segmentation approach based on simple MRF for infrared images is proposed.The approach firstly performs random initial segmentation.By modeling the image with simple MRF and applying adaptive variable weighting forms while iterating,convergence is accelerated while improving the segmentation.Real aircraft and ships infrared images demonstrate the effectiveness of the approach. |
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| Keywords: | infrared image segmentation simple Markov random field maximum a posterior iterated condition mode |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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