| 一种基于图像处理的背景分类方法 |
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| 引用本文： | 蔡云骧,薛士强,周志勇,毕道鹍. 一种基于图像处理的背景分类方法[J]. 光电技术应用, 2010, 25(4): 81-84 |
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| 作者姓名： | 蔡云骧 薛士强 周志勇 毕道鹍 |
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| 作者单位： | 总装备部工程兵科研一所,江苏,无锡,214035;总装备部工程兵科研一所,江苏,无锡,214035;总装备部工程兵科研一所,江苏,无锡,214035;总装备部工程兵科研一所,江苏,无锡,214035 |
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| 摘 要： | 针对各类背景图像在纹理特征上的不同,提出一种基于灰度共生矩阵和主成分分析的背景图像分类方法.在合理构造灰度共生矩阵的基础上,提取14个GLCM纹理特征值,然后对其进行主成分分析得到纹理综合特征函数.实验表明,纹理综合特征函数能够有效对不同类背景图像进行分类.
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| 关 键 词： | 灰度共生矩阵 主成分分析 背景 |
A Method Based on Image Processing for Background Classifying |
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| CAI Yun-xiang,XUE Shi-qiang,ZHOU Zhi-yong,BI Dao-kun. A Method Based on Image Processing for Background Classifying[J]. Electro-Optic Technology Application, 2010, 25(4): 81-84 |
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| Authors: | CAI Yun-xiang XUE Shi-qiang ZHOU Zhi-yong BI Dao-kun |
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| Affiliation: | ( The First Engineers Scientific Research Institute of the General Armaments Department, Wuxi 214035, China ) |
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| Abstract: | Aiming at the differences in texture character of different background images, a method based on GLCM and PCA for background classifying was put forward. First, 14 texture eigenvalues were extracted on the basis of the constructing becomingly GLCM, and then the PCA was executed to gain the colligation texture eigenvalue. The experimentation shows that different background images can be availably classified by the colli- gation texture eigenvalue. |
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| Keywords: | GLCM PCA background |
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