基于磨削纹理去除技术的工程陶瓷磨削表面损伤评价方法研究-机械工程专业论文.docx

damage, skillfully extracts the single defect images and their shape feature parameters; Through the decision tree classifier design based on C4.5 algorithm, a group of shape feature parameter set is determined, A={Roundness, i, C, q}. The detection results are satisfactory.(5) The paper extracts an evaluation parameter set of engineering ceramics ground surface damage, including two macro and four local parameters. The image detection and evaluation system of engineering ceramics ground surface damage has been enriched and improved.KEY WORDS：Engineering ceramics, Ground texture, Surface damage, Decision tree, Damage evaluation目录第一章 绪论 ............................................................................................................. 11.1 课题背景 .................................................................................................... 11.2 课题来源 .................................................................................................... 21.3 课题的研究意义和目的 ............................................................................. 21.4 国内外研究状况......................................................................................... 31.4.1 工程陶瓷加工表面损伤分析及无损检测技术 ................................ 31.4.2 基于图像识别的纹理表面缺陷检测研究状况 ................................ 81.4.3 工程陶瓷加工表面损伤评价方法研究状况.................................. 111.5 论文研究的主要内容 ............................................................................... 12第二章 工程陶瓷磨削实验及图像预处理............................................................. 132.1 工程陶瓷磨削实验................................................................................... 132.2 工程陶瓷加工表面损伤检测方案及图像预处理技术 ............................. 152.3 工程陶瓷磨削表面影像测量系统标定技术 ............................................ 182.4 本章小结 .................................................................................................. 19第三章 工程陶瓷磨削纹理去除技术及损伤提取 ................................................. 203.1 基于 FT 的工程陶瓷磨削纹理去除技术 203.1.1 工程陶瓷磨削表面图像的