Volume 21 Issue 2
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QI Heng-nian. Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian[J]. Journal of Zhejiang A&F University, 2004, 21(2): 222-227.
Citation: QI Heng-nian. Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian[J]. Journal of Zhejiang A&F University, 2004, 21(2): 222-227.

Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian

  • Received Date: 2004-02-05
  • Rev Recd Date: 2004-03-30
  • Publish Date: 2004-04-20
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian

Abstract: Classification and identification of plant are the groundwork for research on botany and management of forestry .Applying modern numerical taxonomy to plants is mostly based on the visible characteristics .The result is derived from the clustering analysis of many values of some visible characteristics .The traditional way of collecting the data manually is not so efficient .Since the visible characteristics are involved in the digital image of the plant or its local parts , image-processing technology can do the work automatically and efficiently .The focus here is how to obtain the characteristics automatically .On the basis of related researches such as computer-aided plantidentification model based on leaf characteristics and extracted sawtooth feature of leaf edge , a system scheme on plant classification and identification is developed .Then the feasibilities of technologies are also analyzed .[ Ch , 5 fig .19 ref .]

QI Heng-nian. Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian[J]. Journal of Zhejiang A&F University, 2004, 21(2): 222-227.
Citation: QI Heng-nian. Automatically obtaining of apearance features and computer-aided plant classification and identification QI Heng-nian[J]. Journal of Zhejiang A&F University, 2004, 21(2): 222-227.

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