摘要
提取了230种木材横切面的21项显微构造特征参数及11项图像纹理特征参数,采用SPSS软件对这32项特征参数进行主成分分析,得出前7个主成分集中了32个变量的80%以上的信息;在相关分析的基础上,筛选出能基本表达木材横切面显微图像主要特征,且相对独立的13项,表征了横切面上主要细胞的形态特征与尺寸大小、主要组分的含量及横切面显微图像主要纹理特征(对比度、周期大小与复杂度等)。
21 parameters of microstructure and 11 parameters of image texture about wood transverse section of 230 species were measured. Then the 32 parameters were analyzed by principal component analysis of the SPSS software. Result showed that 80 percent of information of wood transverse section character was centralized in the former 7 principal components. 13 items were screened out based on the relative analysis, which could represent the main characters of transverse section and be independent each other. The 13 parameters could express morphological characters and dimension of the main cell, proportion of main tissue and main character of image texture （contrast, periodicity, and complexity）.
出处
《东北林业大学学报》
CAS
CSCD
北大核心
2005年第5期30-32,37,共4页
Journal of Northeast Forestry University
基金
东北林业大学科研基金项目。
关键词
木材
横切面
显微图像
特征
主成分分析
纹理
Wood
Transverse section
Mierograph
Character
Principal component analysis
Texture
