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中文摘要：
介绍了传统的板材识别方法,包括人工经验识别法、对分式检索表法和穿孔卡片检索表法。总结了基于计算机识别技术的各种木材识别方法：数据库查询检索法、木材图像识别法、利用神经元网络和木材表面颜色特征对木材进行分级的方法、基于语义数据模型的识别方法、基于最大相似原理的材种判别法和木材细胞模型系统的研究进展,重点论述了基于板材端面细胞实体检测图像的数字特征参数识别法。还总结了木材识别理念的更新和进展,指出基于板材端面细胞实体检测图像的数字特征参数识别法大幅度地加快了识别和比较计算的速度,减少了传统依赖图像像素特征识别比较的不确定性。
英文摘要：
This paper introduced the traditional method of wood recognition, including the methods of dichotomizing search list and punch card list. It summarized each method of wood recognition base on computer.the query method by data-base, the recognition method base on wood image, the wood classification method base on neural network and color features of wood surface, the wood identification method base on semantic data model, the wood identification method base on most similar principle and the research progress of wood cell model. In this paper the method of wood recognition based on numeric character parameters of wood section cell entity image was emphatically discussed. And also summarized the update and evolvement of wood recognition. The method of wood recognition based on numeric character parameters of wood section cell entity image could quicken largely the recognition and comparative calculative rate, and reduce the uncertainty that depended on the traditional experience method.
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