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Acta Agron Sin ›› 2012, Vol. 38 ›› Issue (02): 374-379.doi: 10.3724/SP.J.1006.2012.00374

• RESEARCH NOTES • Previous Articles    

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 Online:2012-02-12 Published:2011-12-01

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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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