| 基于空间灰度共生矩阵的木材纹理特征提取 |
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| 引用本文： | 王克奇,陈立君,王辉,谢永华.基于空间灰度共生矩阵的木材纹理特征提取[J].森林工程,2006,22(1):24-26. |
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| 作者姓名： | 王克奇 陈立君 王辉 谢永华 |
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| 作者单位： | 东北林业大学,哈尔滨,150040 |
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| 基金项目： | 国家自然科学基金;黑龙江省哈尔滨市自然科学基金 |
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| 摘 要： | 讨论了生成步长、生成方向、图像灰度级对灰度共生矩阵特征参数的影响，在对国内50个树种计算分析的基础上，得出适于描述木材纹理的灰度共生矩阵构造方法。结合了灰度共生矩阵特征参数间的相关性及木材纹理自身的特征提取出了一套表征木材纹理的特征参数。
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| 关 键 词： | 计算机视觉 木材纹理 灰度共生矩阵 相关性 |
| 文章编号： | 1001-006X(2006)01-0024-03 |
| 收稿时间： | 06 10 2005 12:00AM |
| 修稿时间： | 2005年6月10日 |
The Extraction of Wood Texture Features Based on Spatial GLCM |
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| Wang Keqi,Chen Lijun,Wang Hui,Xie Yonghua.The Extraction of Wood Texture Features Based on Spatial GLCM[J].Forest Engineering,2006,22(1):24-26. |
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| Authors: | Wang Keqi Chen Lijun Wang Hui Xie Yonghua |
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| Institution: | Northeast Forestry University, Harbin 150040 |
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| Abstract: | The influence of building step, building direction and image grey level on feature parameters of GLCM was discussed, and the building method that was appropriate to describe wood texture was acquired on the basis of calculating and analyzing fifty species of trees. Combining the correlation of feature parameters of GLCM with the features of wood texture, a set of feature parameters that can describe wood texture was extracted. |
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| Keywords: | computer vision wood texture grey level co-occurrence matrix (GLCM) correlation |
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