基于机器视觉的木材种类识别技术研究

Research on Wood Species Recognition Technology Based on Machine Vision

木材种类识别在木材交易和珍惜植物保护工作中是一项重要工作。分析了基于机器视觉的木材种类识别系统研究现状。研究了机器视觉在木材种类识别中的应用。制备木材样品的横切面、径切面和弦切面的显微切片,利用生物显微镜对显微切片进行图像采集,并存入计算机中,通过图像识别、图像处理,获取被测切片的微观特征,然后与已知树种的木材特征比对,实现木材种类识别的自动化。

Wood species recognition is an important task in timber trading and conservation of rare plants.This paper involves study on the application of machine vision in wood species recognition,preparation of the microsections of the cross section,diameter section and string section of wood samples,with a biological microscope used to collect images of the microsections,and store them in the computer,with the microscopic features of the tested sections obtained through image recognition and image processing,followed by comparison with the wood characteristics of known tree species to realize the automation of wood species recognition,lastly the research status of wood species recognition system based on machine vision analyzed.