摘要
为了应用机器视觉技术实现竹条表面颜色等级的分类识别,提出了用颜色矩和灰度共生矩阵描述竹材颜色特征和纹理特征的方法,并采用支持向量机对竹材进行分类识别,正确率达92.3%以上。结果表明,用颜色矩和灰度共生矩阵的特征参数来识别竹条颜色等级是可行的。
In order to realize the classification identification of bamboo surface color grades using machine vision, the method of describing bamboo color features and grain features by means of color moments and gray level co-occurrence matrix is studied and a support vector machine is used for bamboo classification identification, with the accuracy rate over 92.3%. The results indicate that it is feasible to identify bamboo cane color grades using the features parameters of color moment and grey level co-occurrence matrix.
出处
《林业机械与木工设备》
2010年第3期37-39,共3页
Forestry Machinery & Woodworking Equipment
基金
"十一五"国家科技支撑计划项目(2007BAD61B04)
关键词
竹条
颜色矩
灰度共生矩阵
主分量分析
bamboo cane
color moment
grey level co-occurrence matrix
principal component analysis
