【经管类】基于机器视觉技术发动机轴瓦分级检测系统应用研究(电气自动化专业毕业设计).doc

（论文）PAGE PAGE 65 毕业设计（论文）基于机器视觉技术发动机曲轴轴瓦分级检测系统应用研究Based on Machine Vision Technology Engine Crankshaft Bearing Grade Detection System Application学生姓名学历层次学生姓名学历层次所在系部所学专业指导教师教师职称完成时间： ： 本 科 ： 电气与信息学院 ： 自动化 ： ： 讲 师 助理实验师 ： 2008年6月20日 摘 要机器视觉技术已成为一门新兴的综合技术,在社会诸多领域得到广泛应用， 大大提高了装备的智能化、自动化水平,提高了装备的使用效率、可靠性等性能。本设计就是针对汽车发动机曲轴轴瓦装配重要工艺环节，利用气缸表面字符特征不一致，采用机器视觉技术对曲轴轴瓦的不同型号进行检测，保证安装准确；主要应用了模式识别与图像处理技术，以VC＋＋为开发平台，设计出曲轴轴瓦自动检测系统，对轴瓦的类型进行匹配，然后进行自动识别，进而完成检测任务。通过实验验证，在正常情况下，识别误差是可以避免的，所以可以达到预期目标，充分满足了实际生产的需求。关键词 机器视觉 阈值分割 字符识别Abstract： The technology of machine vision has become an emerging comprehensive technology and obtains the widespread application in many social domains. Greatly enhanced the equipment’s intellectualization and automated level, the using efficiency and reliability is also raised. This paper is designed for an important part of the automotive engine crankshaft bearing assembly of the cylinder and by the different characters of surface characteristics, using machine vision technology to test the different models of crankshaft bearing and ensure the accuracy installation. Mainly applied pattern recognition and image processing technology,based on the VC++ to design a system of crankshaft bearing automatic detection and match the type of bearing,and then automatically identify and complete the detection task . It can be avoid the identification errors through experimental verification which under normal circumstances, and so we can achieve the desired objective and fully meet the actual needs of production.Keywords: Machine Vision Threshold Segmentation Character Recognition目 录 TOC \o 1-2 \h \z \u HYPERLINK \l _Toc201569125 1 引言 PAGEREF _Toc201569125 \h 1 HYPERLINK \l _Toc201569126 1.1 背景分析 PAGEREF _Toc201569126 \h 1 HYPERLINK \