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基于PCA方法的强化木地板表面图像特征提取
引用本文:黄勇,林春,张健.基于PCA方法的强化木地板表面图像特征提取[J].林业机械与木工设备,2010,38(3):24-26.
作者姓名:黄勇  林春  张健
作者单位:1. 圣象实业江苏有限公司,江苏,镇江,212300
2. 常州刘国钧高等职业技术学校,江苏,常州,213004
3. 北京林业大学工学院,北京,100083
摘    要:特征提取是实现基于机器视觉的强化木地板表面质量检测的重要环节。采用主成分分析方法对强化木地板表面图像的颜色特征及纹理特征等24维特征参数进行降维处理,使之降至4维。通过利用RBF神经网络分类器对降维前后的特征参数进行分类效果比较,结果表明,主成分分析方法能够有效简化强化木地板表面图像特征参数。

关 键 词:强化木地板  主成分分析  图像特征  特征提取

PCA-based Surface Image Feature Extraction of Laminated Flooring
HUANG Yong,LIN Chun,ZHANG Jian.PCA-based Surface Image Feature Extraction of Laminated Flooring[J].Forestry Machinery & Woodworking Equipment,2010,38(3):24-26.
Authors:HUANG Yong  LIN Chun  ZHANG Jian
Institution:1.Shengxiang Industrial Jiangsu Co./a>;Ltd./a>;Zhenjiang Jiangsu 212300/a>;China/a>;2.Changzhou Liuguojun Higher Vocational and Technical School/a>;Changzhou Jiangsu 213004/a>;3.College of Technology/a>;Beijing Forestry University/a>;Beijing 100083/a>;China
Abstract:Feature extraction is an important link of realizing machine vision-based surface quality inspection of laminated flooring.The method of principal component analysis is adopted to realize reduced-dimension treatment of 24-dimension feature parameters of the surface image of laminated flooring,such as the color features and grain features,reducing 24 dimensions to 4 dimensions.Classification results of the feature parameters before and after dimension reduction are compared by using RBF neutral network class...
Keywords:laminate flooring  PCA  image feature  feature extraction  
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