针叶材微观结构数字化分析及三维模型的研究
摘要
木材的微观结构对木材的理化性能有着不可估量的影响。对于木材研究人员,必须要对木材的微观构造有深入的了解。本研究对木材微观构造进行了较为深入的分析,提出了一种可以快速获取木材微观构造参数的方法。以计算机数字图像处理技术为平台,基本实现了对针叶材微观结构特征参数的自定义提取。并将数字图像处理技术与面向对象编程技术相结合对针叶材微观结构的模拟进行了研究,初步提出了针叶材构造模型的构建思想并对实体木材进行了简单的建模。本研究为木材微观结构的统一性研究提供了理论基础。
本论文的主要结论及研究成果如下：
1在传统数字图像处理技术的基础上结合模式识别分析方法,提出了针叶材的微观结构的数字图像处理方式,对针叶材微观结构参数实现了快速提取。
2提出了采用一种基于数学形态学的边缘检测算法,弥补了传统的边缘检测算法在处理复杂度较高及噪点较多的图片时的不足。并与图像叠加技术相结合进
一步完善对横切面木材间质冗余信息的剔除,为后续的特征参数测量提供了良好的技术平台。
3提出了以面向对象编程思想和针叶材材种间微观结构的基本相似性和可继承性原则为基础建立木材微观结构三维模型,并对模型进行了初步的分析和探索。
4提出了使用分形理论将针叶材微观三维模型向实体三维模型进行过渡,可借此对木材的导热性、多孔性等复杂的物理结构进行定量分析。
Microstructure of wood has an immeasurable impact with the chemical properties and the physical properties of wood. Researchers for the timber must be constructed of wood micro-depth understanding. In this study, there is a more in-depth analysis for micro-structure of wood, and a quick access to get wood microstructure parameters. Set computer image processing technology as the platform, basically the structure of softwood micro extraction of characteristic parameters of the custom. And digital image processing technology and the combination of object-oriented programming techniques on the microstructure of softwood virtualization studied, initially proposed structural model of softwood construction and physical ideas were simply the virtual timber processing. This study is the unity of the microstructure of wood provides a theoretical basis.
The main conclusions of this paper and the research results are as follows:
(1) A traditional digital image processing technology combined with pattern recognition method based on the proposed softwood microstructure of digital image processing methods, microstructure parameters on softwood to achieve a rapid extraction.
(2) A mathematical morphology-based edge detection algorithm, to make up the traditional edge detection algorithm in dealing with high complexity and more picture noise deficiencies. And combined with the image overlay technology to further improve the quality of the cross-section of wood between the removed redundant information for measuring characteristics of the follow-up provides a good platform.
(3) In combination with object-oriented programming ideas and microstructure of wood species the basic principle of similarity and the basis of inheritable, this study proposes the establishment of a three-dimensional model of the microstructure of wood.
(4) Proposed the use of fractal theory to microscopic three-dimensional model of softwood dimensional model of the transition to the entity can take on wood thermal conductivity, porosity, and other complex quantitative analysis of the physical structure.
本论文的主要结论及研究成果如下：
1在传统数字图像处理技术的基础上结合模式识别分析方法,提出了针叶材的微观结构的数字图像处理方式,对针叶材微观结构参数实现了快速提取。
2提出了采用一种基于数学形态学的边缘检测算法,弥补了传统的边缘检测算法在处理复杂度较高及噪点较多的图片时的不足。并与图像叠加技术相结合进
一步完善对横切面木材间质冗余信息的剔除,为后续的特征参数测量提供了良好的技术平台。
3提出了以面向对象编程思想和针叶材材种间微观结构的基本相似性和可继承性原则为基础建立木材微观结构三维模型,并对模型进行了初步的分析和探索。
4提出了使用分形理论将针叶材微观三维模型向实体三维模型进行过渡,可借此对木材的导热性、多孔性等复杂的物理结构进行定量分析。
Microstructure of wood has an immeasurable impact with the chemical properties and the physical properties of wood. Researchers for the timber must be constructed of wood micro-depth understanding. In this study, there is a more in-depth analysis for micro-structure of wood, and a quick access to get wood microstructure parameters. Set computer image processing technology as the platform, basically the structure of softwood micro extraction of characteristic parameters of the custom. And digital image processing technology and the combination of object-oriented programming techniques on the microstructure of softwood virtualization studied, initially proposed structural model of softwood construction and physical ideas were simply the virtual timber processing. This study is the unity of the microstructure of wood provides a theoretical basis.
The main conclusions of this paper and the research results are as follows:
(1) A traditional digital image processing technology combined with pattern recognition method based on the proposed softwood microstructure of digital image processing methods, microstructure parameters on softwood to achieve a rapid extraction.
(2) A mathematical morphology-based edge detection algorithm, to make up the traditional edge detection algorithm in dealing with high complexity and more picture noise deficiencies. And combined with the image overlay technology to further improve the quality of the cross-section of wood between the removed redundant information for measuring characteristics of the follow-up provides a good platform.
(3) In combination with object-oriented programming ideas and microstructure of wood species the basic principle of similarity and the basis of inheritable, this study proposes the establishment of a three-dimensional model of the microstructure of wood.
(4) Proposed the use of fractal theory to microscopic three-dimensional model of softwood dimensional model of the transition to the entity can take on wood thermal conductivity, porosity, and other complex quantitative analysis of the physical structure.
引文
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