基于MATLAB的木材花纹图像处理与分析研究  被引量:3

Image Processing and Analysis Research Based on MATLAB

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作  者:蒋彤(Banda Charity) 田朔 黄璇 余辉龙 李文珠[1] JIANG Tong(Banda Charity);TIAN Shuo;HUANG Xuan;YU Hui-long;LI Wen-zhu(School of Chemistry and Materials Engineering,Zhejiang A&F University,Hangzhou Zhejiang 311300,China;Dongyang Forest Resources Comprehensive Service Center,Dongyang Zhejiang 322100,China;Furniture Product Quality Supervision and Inspection Center of Jiangxi Province,Ganzhou Jiangxi 341400,China)

机构地区:[1]浙江农林大学化学与材料工程学院,浙江杭州311300 [2]浙江省东阳市森林资源综合服务中心,浙江东阳322100 [3]江西省家具产品质量监督检验中心,江西赣州341400

出  处:《林业机械与木工设备》2022年第8期89-96,共8页Forestry Machinery & Woodworking Equipment

基  金:浙江省科技厅浙江省基础公益研发计划项目(编号:LGC20C160001)。

摘  要:通过对赞比亚产三种木材花纹的采集与分类,基于MATLAB软件,以自相关函数的粗糙度为导向,结合灰度共生矩阵特征参数估计,建立木材花纹图像学模型。结果表明:灰度共生矩阵特征信息分析从对纹理构成的角度上定量地代表了对应的纹理特征,木材花纹间的对比度差异比较明显,同质性(0.70~0.80)上差异较小。基于木材基本构造特征辅助计算机参数,实现对木材不同特征纹理的识别和对木材花纹的分类运用,具有一定可行性与准确性。Through the acquisition and classification of three wood patterns produced in Zambia,based on MATLAB,guided by the roughness of the auto correlation function and estimated through combination with the feature parameters of the gray-level co-occurrence matrix,a wood pattern image model was established.The results show that the feature information analysis of gray-level co-occurrence matrix quantitatively represents the corresponding texture characteristics from the perspective of texture composition,with obvious contrast difference between wood patterns and small difference in homogeneity(0.70-0.80).Based on the basic structural characteristics of wood,accompanied by computer aided parameters,it is feasible and accurate to realize the identification of different characteristic textures of wood and the classification and application of wood patterns.

关 键 词:木材花纹 MATLAB 图像处理 自相关函数 灰度共生矩阵 

分 类 号:S781[农业科学—木材科学与技术]

 

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