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  • 标题:Leaf recognition for plant classification using GLCM and PCA methods
  • 本地全文:下载
  • 作者:Abdolvahab Ehsanirad ; Sharath Kumar Y. H
  • 期刊名称:Oriental Journal of Computer Science and Technology
  • 印刷版ISSN:0974-6471
  • 出版年度:2010
  • 卷号:3
  • 期号:1
  • 页码:31-36
  • 出版社:Oriental Scientific Publishing Company
  • 摘要:In this paper, the image processing techniques has been used in order to classify the plants byapplying on the leaves images. To extract the leaves texture features, the Gray-Level Co-occurrencematrix (GLCM) and Principal Component Analysis (PCA) algorithms have been considered. TheAlgorithms are trained by 390 leaves to classify 13 kinds of plants with 65 new or deformed leavesimages. The result indicates that the accuracy for the GLCM method is 78% while the accuracy for thePCA method is 98%
  • 关键词:Classification; GLCM; PCA; feature extraction
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