应用空间灰度共生矩阵定量分析木材表面纹理特征  

Application of Spatial Gray Level Cooccurrence Matrix in Wood Surface Texture Quantitative Analysis

作　　者：于海鹏[1] 刘一星[1] 张斌[1] 李永峰[1] 

机构地区：[1]东北林业大学材料科学与工程学院,哈尔滨150040

出　　处：《林业科学》2004年第6期121-129,共9页Scientia Silvae Sinicae

基　　金：国家自然科学基金项目 ( 3 0 0 70 60 7)

摘　　要：引入空间灰度共生矩阵对木材表面纹理进行定量分析 ,在对国内 5 0个树种径弦向纹理计算、分析的基础上得出结论 :像素点对间距d取 3,像素点对角度θ在径向纹理时取 0°,在弦向纹理时取 0°、4 5°和 135°的平均值对于反映木材纹理的特点较适宜。在 11种纹理特征参数的基础上归纳出 4个纹理主成分因子 ;讨论了主成分上木材纹理的分布规律和特点 ,并具体对木材的径、弦向纹理分别进行了分析 ,得出了各自的变化特点 ;提出了纹理综合值的计算方法 ,以及通过纹理综合值判定 2种纹理间相似性的方法。This paper introduces spatial gray level cooccurrence matrix (GLCM) into wood surface texture quantitative analysis. On the basis of fifty species datas, it concludes that d equals to 3, and θ equals to 0° in radial texture, equals to the average of 0°, 45° and 135° in tangential texture are suitable for wood texture analysis. It induces four principal components from eleven GLCM features, and explains their meanings; then it analyzes distribution law of wood textures in principal component space, and probes wood texture characteristics both in radial and tangential directions, as well as their changing law; at last, it advances a calculation formula for computating wood texture value comprehensively, and how to use it to judge the similarity of two textures.

关 键 词：木材表面纹理 定量分析 空间灰度共生矩阵 数字图像纹理分析 

分 类 号：S781.61[农业科学—木材科学与技术]