基于计算机的木材特征提取和分类识别技术研究综述

木材由于内部结构和组成成分的差异,使不同种类木材表现出完全不同的理化性质,并决定其不同的用途和商业价格,因此针对木材的分类识别研究具有重要的应用价值。木材分类识别通常经过木材特征提取和基于特征的分类识别这2个步骤。目前木材特征提取主要利用计算机视觉、光谱分析等技术。木材分类识别是基于木材特征的数字化,这一部分可利用计算机算法实现自动识别,较以往人工识别可大幅提高准确度。文中通过分析近20年来木材特征提取和分类识别的相关文献,介绍各种基于计算机的木材特征提取与分类识别技术的特点及适用范围,并结合计算机技术的发展方向探讨木材特征提取与分类识别技术的发展趋势,以期为构建更准确的木材分类识别技术提供参考。

Review of Computer-based Wood Feature Extraction and Identification

The differences in internal structure and composition bring wood completely different physical and chemical properties, and determine their uses and commercial prices. Therefore, the research on wood identification technology is of important value. As a biomass material, wood has the strong variability in structure and component characteristics, which imposes challenges to the research on wood identification technology. Generally, the wood identification technology can be divided into two steps:feature extraction and feature-based identification. At present, computer vision and spectral analysis are the main technology used to extract wood features. And the technology of wood identification is based on the digitalization of wood feature using the computer algorithms, which can improve the accuracy than manual identification. This paper reviews and analyzes the related literature om the wood feature extraction and identification in the past 20 years, introduces the characteristics and applicable scope of a range of computer based technology for wood feature extraction and classification, and discusses the development trend of the technology of wood feature extraction and classification with the development of computer technology, with the expectation to provide references to build a more accurate wood identification technology.