针对木材构造美学元素研究不够深入，也未与现代数字图像提取技术相结和，同时，计算机数字图像技术的飞速发展为研究不同尺度下木材构造美学元素的数字化提取与视觉评价提供了可实现的方法和途径。本研究利用数字图像技术系统地研究不同尺度下木材构造美学元素的数字化提取与视觉评价。采用云理论、基于图论的方法、基于迭代的粒子群优化算法、基于膜计算、基于变分水平集等数字图像提取技术对不同尺度下木材构造美学元素进行提取。通过基于视觉感知的全参考型、基于水印的部分参考型和无参考型等美学评价方法进行视觉评价，筛选出最佳的木材构造美学元素和最优的提取方法。本研究拓展了木材解剖学的研究领域，并推动了木材解剖学和数字图像处理技术的相互交叉、深入发展，为木材构造美学元素的自动化提取和开发利用提供新的思路和理论依据，为时装设计、装潢广告设计、环境艺术设计和工艺美术设计等提供新的美学元素，进一步美化我们的生活。

Though not be combined with modern digital extraction technology by recent research field, digital extraction and visual evaluation of wood structure esthetics elements in diverse measurement could obtain realizable meathods and ways by the rapid development of the computer digital image technology. The digital image technologies ,which are cloud theory, graphy theory, particle swarm optimization algorithm based on iteration, membrane computing, variational level set, are used in the digital extraction and visual evaluation of this research. Full Reference based on visual perception, fractional reference and no reference based on watermark are the aesthetics evaluation methods in this research to screen the best wood structure aesthetics elements and the best extraction method. This research expands the field of wood anatomy; promote the interaction and developing between wood anatomy and digital image processing techniques. It would provide a new idea and theory for the automatic extraction and development and utilization of wood structure aesthetics elements, and provide new aesthetic elements serving for fashion design, decoration design, enviromental design and craft arts, beautify our life at the same time.