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  • 标题:Sapwood Oak classification using Global and Local Features
  • 本地全文:下载
  • 作者:Hammad Naeem ; Asim Anees ; Maria Minhas
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2013
  • 卷号:10
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:Classification of wood images has always fascinated researchers and is a hot area of research as it brings automation in wood industry. Wood comes in different types and for a given wood; it can have some good part and some bad part like cracks, water affected and sapwood. The objective of this paper is to classify the sapwood region and the non-sapwood region in oak wood image in order to get the good part of the wood (heart part). Color based features and texture based feature extraction strategies were employed and it was found that color based feature extraction techniques are better compared to others in order to find sapwood.
  • 关键词:SAPWOOD detection; Feature Combination; Gabor Filter
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