《基于图像处理的瓶装杂质检测系统设计(附程序)论文》由会员分享，可在线阅读，更多相关《基于图像处理的瓶装杂质检测系统设计(附程序)论文（25页珍藏版）》请在金锄头文库上搜索。
1、第十届中国研究生电子设计竞赛技术论文论文题目：基于图像处理的瓶装杂质检测系统设计（附程序）参赛单位：*队伍名称：*指导老师：*参赛队员：*完成时间：2015年6月16日随着图像处理技术的快速发展，该技术已经被应用于军事，航空，医疗与 工业等很多领域。在医药生产厂与饮料制造厂相关领域有着广阔的发展前景并 且意义深远，目前很多厂家尤其国内相关行业的产品杂质检测还停留于人工检 测阶段，即用肉眼识别，这种传统方法耗时耗力。若采用图像处理技术来实现 杂质检测的自动化，可以大大节约费用开支，减少工人工作量。本文对瓶装液 体的杂质检测进行了相关研究，提出了检测液体杂质的算法，并搭建了硬件平 台。整体系统实现
2、预期效果，为后续的实际应用奠定了基础。本文通过软件算法与硬件结构的配合，实现了模拟流水线作业的瓶装液体 杂质检测系统。其中，软件部分识别算法主要用OpenCV开源库实现该功能，分 别用到了滤波、二值化、图像形态学处理、轮廓检测、轮廓绘制等系列函数体, 通过恰当的搭配与参数的设置，完成较好的效果；电脑界面部分用MFC编制而 成，实现人机交流并能显示检测效果与实时报警。硬件平台的搭建主要是位置 的安排与结构的设计等，为配合软件算法的实现，设计出适应本系统的硬件相 关设备。用一台黑白CMOS工业摄像头作为采集设备，图像信息传输到电脑。并 且通过FPGA采集红外对管信号，通过串口发送和接收数据，来实现
3、摄像头的自 动抓拍，并且FPGA驱动小液晶屏实现报警功能。通过这几者的结合，完成该功 能的设计并达到预期目标。本文对实现杂质检测的算法进行了研究，提出了集中检测的方法和相关的 实验效果图，正文中将对此进行详细叙述。对硬件光照等结构也进行了相关的 调研与研究，最后确定一套切实可行的方案。所以，基于本套系统，可以开发出适用于各种涉及到检测的厂商流水线车 间，大大提高生产效率。尤其硬件部分有很大提升的空间，如在瓶子下部加入 急速旋停电机来让杂质在液体中间部分漂浮，提高光源质量使摄像头识别杂质 更加清晰，以及较好的设备固定与角度测量可以让硬件的功能充分发挥，都可 以使得该系统精度大大提升。在将来的规划
4、中，可以把算法程序移植入FPGA中, 并且配有显示屏，这样可以减小系统的体积，更加方便安装与转移。关键字：OpenCV、机器视觉、图像处理、轮廓提取AbstractAlong with the imagery processing technology fast development, this technology is already applied in the military, the aviation, the medical service and the industry and so on very many domains. Has the broad prospects
5、 for development in the medicine plant and the drink factory correlation domain and the significance is profound, at present the very many factory especially domestic correlation profession product impurity examination also pauses in the manual examination stage, namely with the recognition by eye,
6、this traditional method consumes time expends effortIf uses the imagery processing technology to realize the impurity examination automation, may cut down on the expense expenditures greatly, reduces the worker work load.This article has conducted the correlation research to the bottled liquid impur
7、ity examination, proposed the examination liquid impurity algorithm, and has built the hardware platform. The integrated system realization anticipated effect, has established foundation this article for the following practical application through the software algorithm and the hardware architecture
8、 coordination, has realized the Simulation assembly line work bottled liquid impurity examination system. Among them, the software part recognition algorithm mainly opens the source storehouse with OpenCV to realize this function, separately used series function bodies and so on the filter, binaryza
9、tion, image morphology processing, outline examination, outline plan, through appropriate matching and the parameter establishment, completed the good effect; The computer contact surface part establishes with MFC becomes, the realization man-machine exchange and can demonstrate the examination effe
10、ct and real-time reports to the police .The hardware platform build mainly is the position arrangement and the strueture design and so on, for coordinates the software algorithm the realization, designs adapts this system hardware related equipment. Gathers the equipment with a black and white CMOS
11、industry camera achievement, the pictorial information transmits the computer. And gathers infrared through FPGA to the tube signal, through the serial port transmission and the receive data, realizes the camera automatic snapshot, and FPGA actuates the small liquid crystai box realization to report
12、 to the police the function. Through these unions, completes this function the design and achieves the anticipated targetThis article to realized the impurity examination algorithm to conduct the research, proposed the centralism examination method and the correlation experimental effect chart, in t
13、he main text regarding this will carry on the detailed narration.Has also carried on the related investigation and study and the research to the hardware illumination isostrueturalism, finally determines set of practical and feasible plansTherefore, based on this set of systems, may develop is suita
14、ble involves in each kind to the examination manufacturer assembly line workshop, enhances the production efficiency greatly. The hardware part has the very big promotion space especially, if joins lower part the jar turns on lathe rapidly stops the electrical machinery to let the impurity in the li
15、quid middle part float, improves the photosource quality to cause the camera recognition impurity to be clearer, as well as the good equipment fixes with the measurement of angle may let the hardware the function full display, all may cause this system precision big promotion. In the future plan, mi
16、ght transplant into the algorithm procedure in FPGA, and will have the display monitor, like this might reduce the system the volume, more convenient installment and shift.Key words: OpenCV, machine vision, imagery processing, outline extraction第1章绪论1. 1研究背景及意义众所周知，对于瓶装液体是否含有杂质有关食品与医药安全问题。当今国 家高度重视食品安全问题，严格把控食品生产过程中的卫生，保证民用饮食的 安全。然而现如今，国内大部分企业和产品生产车间采用传统的肉眼识别，这 种识别方法速度慢，可靠性差，并且检测人员容易疲劳。所以，对于机器视觉 的开发与应用，有很大的开发潜力。这种系统可以高效，廉价的自动化完成相 关功能，来取
