【摘要】 介绍了人工知识、对分检索和穿孔卡片检索等3种传统木材识别方法和数据库检索识别方法。指出基于计算机视觉的木材识别方法的优点,它将成为木材识别的一种趋势。根据识别过程将该方法按照给定木材的类型、识别的特征和分类器等3种方式进行分类,并给出了每种类型详细的分类和当前研究的进展。最后,对今后木材识别研究在语义特征提取、语义特征与纹理特征的结合、树种指纹挖掘、无切片识别和设备研制等5个方面提出了自己的看法。更多还原

【Abstract】 Three traditional methods and database searching method of wood recognition were introduced. Then the advantages of the method of wood recognition based on computer vision were pointed out. According to the recognition process,this method was divided into three styles:type,feature and classifier. Finally,five aspects for future research in the semantic features extraction,combination of semantic features and texture features,tree species fingerprint search,non-slicing recognition and equipment development to identify were put forward.更多还原