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作物学报 ›› 2012, Vol. 38 ›› Issue (02): 374-379.doi: 10.3724/SP.J.1006.2012.00374

• 研究简报 • 上一篇    

基于图像处理和支持向量机的初烤烟叶颜色特征区域分类

潘治利1,**，祁萌2,**，魏春阳3,**，李锋3，张仕祥3，王建伟3，过伟民3，艾志录1,*   

  1. 1 河南农业大学食品科学技术学院, 河南郑州450002; 2 华北水利水电学院, 河南郑州 450008; 3中国烟草总公司郑州烟草研究院, 河南郑州 450001
  • 收稿日期:2011-06-02 修回日期:2011-10-12 出版日期:2012-02-12 网络出版日期:2011-12-01
  • 基金资助:

    本研究由河南省重点学科青年骨干教师建设项目(豫教高[2008]169号)资助。

Color Region Classification of Flue-cured Tobacco Leaves Based on the Image

PAN Zhi-Li1,**,QI Meng2,**,WEI Chun-Yang3,**,LI Feng3,ZHANG Shi-Xiang3,WANG Jian-Wei3,GUO Wei-Min3,AI Zhi-Lu1,*   

  1. 1 College of Food Science and Technology, Henan Agricultural University, Zhengzhou 450002, China; 2 North China University of Water Conservancy and Electric Power, Zhengzhou 450008, China; 3 Zhengzhou Tobacco Research Institute of China National Tobacco Corporation, Zhengzhou 450001, China
  • Received:2011-06-02 Revised:2011-10-12 Published:2012-02-12 Published online:2011-12-01

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1607

被引次数

13

摘要： 颜色是烤烟烟叶品质的重要外在指标之一, 在生产中, 同类颜色烟叶在不同产地却往往存在着较大的差异。采用区域生长方法对烟叶图像进行分割预处理, 然后提取烟叶的颜色特征, 再运用一种新的机器学习算法—支持向量机分类方法对我国烟叶颜色特征进行区域分类。结果发现在小样本情况下, 采用径向基函数作为支持向量模型的核函数, 并确定了适当的模型参数, 所建立模型对烟叶颜色区域特征的回判识别率达100%, 预测识别率达86.67%。支持向量机对典型产地烟叶颜色的分类识别具有良好的应用性能。

关键词: 烟叶, 支持向量机, 颜色, 分类

Abstract: Leaf color is an important indicator of flue-cured tobacco quality; however, there is a big difference among similar color tobacco leaves from different areas. Color features of tobacco leaves were obtained by using Region Growing Method in the pre-processing, and then made region classification by using Support Vector Machine (SVM). The results showed that in the case of small samples, radial basis function was the kernel function of the SVM, and the appropriate model parameters were determined. The classification accuracies for training set and test set of the SVM model were 100% and 86.67%, showing that SVM has a perfect performance in color region classification of tobacco leaves.

Key words: Tobacco leaf, Support vector machine, Color, Classification

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