摘要
为了应用计算机视觉高效、准确地测量出木材的构造特征参数,提出一种基于数字图像处理理论和二值形态学技术的木材横切面显微构造图像分析方法.采用显微镜、摄像传感器、图像采集卡和计算机组成的高精度数字图像动态采集系统,并在彩色图像处理软件平台上,针对木材显微构造细胞的特点进行了软件功能的开发和改进.结果表明,应用此方法能够实现对木材组织分子的形态量、几何量、分布密度、组织比量和胞壁率等参数的测量,在准确性、高效性和自动化程度方面比照以往方法有所改进.
In order to measure and compute the structural parameters of wood by computer vision exactly and efficiently,An approach based on digital image processing and binary morphology technique to analyze the microstructural images of wood was proposed.Digital images of wood transverse section were captured by the system composed of a microscope,a dynamic CCD camera,video capture card and a computer,and then were further analyzed,measured and computed by the color image analysis software that secondarily exploited in view of wood molecular traits.The results show that the proposed can realize the digital measurement of morphology,geometry,distributed density,tissue proportion and cell wall percentage of cell tissues,and it has made some progresses on accuracy,efficiency and automatization than traditional methods.
出处
《材料科学与工艺》
EI
CAS
CSCD
北大核心
2008年第1期107-111,共5页
Materials Science and Technology
基金
国家自然科学基金资助项目(30700630)
关键词
木材
显微构造
特征参数
数字图像处理
二值形态学
wood
microstructure
feature parameters
digital image processing
binary morphology
