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基于计算机视觉的等离子显示器屏板定位技术的研究

发布时间:2018-08-24 16:09
【摘要】:精密定位技术是超精密加工、大容量数据存储、纳米技术及精密测试等多领域的关键性技术,具有广泛的市场前景。本文主要研究利用计算机视觉技术和衍射光栅技术实现显示器屏板间的位置检测和高精度定位,论文研究内容主要包括以下几个方面:研究了基于计算机视觉的图像处理技术,并将相应技术应用到等离子显示器屏板的精密自动对准中。通过CCD摄像机得到荫罩板网孔与基板十字线的原始图,对摄取的图像进行直方图均衡化、高斯滤波、边缘检测等预处理以去除噪声等干扰,利用阈值分割方法确定基板十字线的位置,再利用圆环匹配法和遗传算法对圆孔位置进行检测,进而确定十字线与网孔间的相对位置关系。利用matlab仿真对圆环匹配法和遗传算法进行了研究比较,结果表明,遗传算法检测圆孔位置的精度高,且运算效率高。研究了双级光栅位移检测技术,建立了莫尔信号大小和光栅间位移偏差的数学模型,并进行了仿真研究,结果表明,莫尔信号强度随光栅间相对位移呈现周期性变化,同时也随着两光栅的间距呈现周期性变化,这说明,经双光栅衍射后的莫尔信号具有稳定的变化规律,非常适用于高精度的位置检测。为进一步提高位置检测的灵敏度,研究探讨了差动莫尔式精密定位方法。在此基础上,研制开发了荫罩式等离子显示器屏板精密定位装置。设计了精密检测系统和精密驱动系统,系统以微定位工作台为核心,利用计算机视觉技术和光栅传感器检测位置偏差,驱动机构由粗定位机构和精定位机构组成,粗定位机构采用脉冲细分式步进电机,通过精密丝杠将步进电机细分后的微小角度转化为微米级的线性位移,实现粗定位。精定位机构采用压电陶瓷致动器,以柔性铰链为传动机构,驱动定位台实现精定位,定位过程中的误差由计算机闭环控制消除。为实现屏板的大行程、高精度定位,提出粗定位与精定位相结合的复合式屏板定位技术。粗定位利用计算机视觉检测技术,对摄取到的原始图进行分析处理,检测出十字线和网孔的相对位置关系,从而发出控制指令,驱动定位台进入粗定位精度范围,定位精度为±60μm。完成粗定位后,计算机根据接收到的莫尔信号大小极性给驱动机构发出控制指令,驱动定位台进入精定位误差范围,定位精度为±0.4μm。
[Abstract]:Precision positioning technology is a key technology in many fields, such as ultra-precision machining, large capacity data storage, nanotechnology and precision testing, etc. It has a broad market prospect. In this paper, the computer vision technology and diffraction grating technology are mainly used to realize the position detection and high precision positioning between the display panels. The main contents of this paper are as follows: the image processing technology based on computer vision is studied. The corresponding technology is applied to the automatic alignment of plasma display panel. The original image of the shadow mask mesh and the cross line of the substrate was obtained by CCD camera, and the image was equalized by histogram, filtered by Gao Si, edge detection and so on, so as to remove the noise and other interference. The threshold segmentation method is used to determine the position of the cross line of the substrate, and then the circle matching method and genetic algorithm are used to detect the position of the circular hole, and then the relative position relationship between the cross line and the mesh is determined. The ring matching method and genetic algorithm are studied and compared by matlab simulation. The results show that genetic algorithm has high accuracy and high efficiency in detecting circular hole position. The two-stage grating displacement detection technique is studied, and the mathematical model of moire signal size and displacement deviation between gratings is established. The simulation results show that the intensity of moire signal varies periodically with the relative displacement between gratings. At the same time, the interval between the two gratings changes periodically, which shows that the moire signals diffracted by double gratings have a stable variation law and are very suitable for high precision position detection. In order to improve the sensitivity of position detection, the differential moire precision positioning method is studied. On this basis, the precision positioning device of shadow mask plasma display panel is developed. A precision detecting system and a precision driving system are designed. The system takes the micro-positioning table as the core, uses the computer vision technology and the grating sensor to detect the position deviation, and the driving mechanism is composed of coarse positioning mechanism and fine positioning mechanism. The coarse positioning mechanism adopts the pulse subdivision stepping motor and converts the tiny angle of the step motor subdivided into the linear displacement of micron through the precision lead screw to realize the coarse positioning. In the precision positioning mechanism, piezoelectric ceramic actuator is used, and the flexible hinge is used as the transmission mechanism. The precision positioning is realized by driving the positioning table, and the error in the positioning process is eliminated by the computer closed loop control. In order to realize the large stroke and high precision positioning of the screen plate, the combined technology of coarse positioning and precise positioning is proposed. Rough positioning uses computer vision detection technology to analyze and process the original images taken, and detect the relative position relationship between cross and mesh, and then issue control instructions, drive the positioning station into the rough positioning precision range, the positioning accuracy is 卤60 渭 m. After the rough positioning is completed, the computer sends out the control instruction to the driving mechanism according to the received polarity of the moire signal, and the driving positioning station enters into the precision positioning error range, and the positioning accuracy is 卤0.4 渭 m.
【学位授予单位】:南京师范大学
【学位级别】:硕士
【学位授予年份】:2016
【分类号】:TP391.41;TN873

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