| 基于灰度共生矩阵纹理特征的SAR图像分割 |
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| 引用本文： | 刘保利,田铮.基于灰度共生矩阵纹理特征的SAR图像分割[J].计算机工程与应用,2008,44(4):4-6. |
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| 作者姓名： | 刘保利 田铮 |
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| 作者单位： | 西北工业大学 计算机科学技术学院，西安 710072 |
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| 摘 要： | 同时考虑SAR图像局部灰度均值和方差及像素空间分布特征等统计量，在以灰度共生矩阵产生的纹理统计量为特征所生成的图像上，建立多分辨双Markov-GAR模型，采用多分辨MPM的参数估计方法及相应的无监督分割算法，对SAR图像进行纹理分割。该方法用于一些高分辨SAR图像，其分割精度及分割边缘的平滑度均优于基于灰度图像上的多分辨双Markov-GAR模型纹理分割。
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| 关 键 词： | 灰度共生矩阵 SAR图像 双Markov-GAR模型 多分辨MPM 纹理分割 |
| 文章编号： | 1002-8331（2008）04-0004-03 |
| 收稿时间： | 2007-05-21 |
| 修稿时间： | 2007-11-12 |
Co-occurrence matrices texture feature-based segmentation of SAR Image |
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| LIU Bao-li,TIAN Zheng.Co-occurrence matrices texture feature-based segmentation of SAR Image[J].Computer Engineering and Applications,2008,44(4):4-6. |
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| Authors: | LIU Bao-li TIAN Zheng |
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| Affiliation: | College of Computer Science，Northwestern Polytechnical University，Xi’an 710072，China |
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| Abstract: | A new method for segmentation of synthetic aperture radar(SAR) images is presented to consider spatial distributed characters between pixels of SAR images as well as the local means and variances statistics of gray level,a Gaussian autoregressive(GAR) model under a multiresolution pairwise Markov framework.Based on texture feature images from gray level co-occurrence probability statistics,we examine the texture segmentation of SAR image suing the multi-resolution maximization of the posterior marginal(MPM) estimate with corresponding unsupervised segmentation algorithm on those texture feature images.For some SAR images,compared with multiresolution pariwise Markov-GAR model texture segmentation based on gray level images,the results of experimentation show that the proposed method in this paper has a better performance on segmentation precision. |
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| Keywords: | Gray Level Co-occurrence Matrices SAR image pairwise Markov-GAR model multiresolution MPM texture segmentation |
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