基于短消息的印版质量检测系统研究与实现

实现了一种基于短消息控制的印版质量自动检测系统,系统采用短消息控制的机器视觉技术和嵌入式技术,通过对印刷表面信息的提取和处理,完成了印版在线质量实时检测,依据检测结果给出报警信号和剔除控制等操作,实现了印版的智能检测。     

Image registration for automated inspection of printed circuit patterns using CAD reference data

An image registration approach for inspection of printed circuit patterns which has been validated on a prototype system is described. Theoffline procedure forms, selects, prioritizes, and sorts registration features from CAD-generated reference data. A feature is selected if it satisfies clearance rules that account for the maximum expecteddiscongruence between captured and reference images. The sorting scheme considers the detection complexity of a feature and its distance away from the center of the expected image, since outer features represent potential global distortions better. Theruntime registration procedure detects features and finds the parameters that transform pixels into reference data coordinates and vice versa. We represent robust feature-measurement techniques that offer accurate subpixel localization and verify feature authenticity. We describe an edge-detection technique based on a novel way of authenticating zero-crossings and a method that disqualifies edges detected on defects of the part under inspection.     

机器视觉技术及其应用概况

介绍了机器视觉的系统组成及工作原理、相对于人类视觉优势所在,阐述了机器视觉在我国工业、农业、医学、机器人导航、卫星遥感等领域的应用,指出了机器视觉的未来走向.     

A sequential machine vision procedure for assessing paper impurities

We present a sequential, two-step procedure based on machine vision for detecting and characterizing impurities in paper. The method is based on a preliminary classification step to differentiate defective paper patches (i.e., with impurities) from non-defective ones (i.e., with no impurities), followed by a thresholding step to separate the impurities from the background. This approach permits to avoid the artifacts which occur when thresholding is applied to paper samples that contain no impurities. We discuss and compare different solutions and methods to implement the procedure and experimentally validate it on a datasets of 11 paper classes. The results show that a marked increase in detection accuracy can be obtained with the two-step procedure in comparison with thresholding alone.     

基于机器视觉的实时丸药检测系统

丸药是最为常见的药品剂型,最后成品的外观都要求圆整均匀、色泽一致,在丸药检测方面使用机器视觉技术有着良好的应用前景。通过对丸药实时检测方法和途径的分析探讨,提出了完整的工作循环模式。根据此模式,给出了利用Matlab和visual studio开发实时检测系统的完整方案。     

玻壳局部缺陷检测方法的研究

玻壳局部缺陷在整幅图象中所占比例很小,用传统的分割方法难以确定按灰度分割的阈值。针对这种情况,本文提出了一种自适应的局部阈值图象分割的方法,该方法在玻壳缺陷检测中取得了好的效果。     

基于机器视觉系统的调色板编程技术研究与实现

在机器视觉系统软件开发中,很多情况下都涉及到调色板编程.对于用户而言,只能通过相关的句柄和API函数操作调色板,其内部实现细节完全被操作系统隐藏,给深入掌握和使用调色板技术带来很多困难.从调色板的GDI内部数据结构入手,深入探讨调色板内部的机制,详细说明调色板的特性,并给出不同情况下正确使用调色板的方法,为用户编写高质量的图像处理程序提供了有价值的参考和帮助.     

人体实体运动的自动检测

将人体运动系统视为由19个关节相连的实体构成的刚性框架系统,人体的连续运动就可用这19个表示人体运动的实体角随时间变化的曲线组表示。在被测人体的关节处粘贴图形彩色标记,根据人体运动的普遍规律,人体的运动是受约束的,所以可由计算机软件自动识别出人体各个实体在每幅图像画面中的实体角,得到人体连续运动动作的定量数据。     

棒线材端头识别的图像处理改进方法

一直以来,对棒线材进行计数都采用人工方法,效率低且不准确.为了提高效率,需要研究出一种棒线材自动识别方法实现棒线材的自动计数.通过对常见的轮廓提取法进行研究,提出了改进的轮廓提取法,通过对棒线材灰度图像的轮廓提取、分割处理、闭运算及细化处理等消除了细线及目标区域的影响,得到了更准确的轮廓曲线并计算出轮廓的圆形度,进而计算出棒线材的半径,棒线材的半径是实现棒线材自动识别的重要参数.程序的运行结果表明,改进的轮廓提取法能准确地把棒线材端头轮廓提取出来.     

自动生产线上透明灌装瓶液体体积的机器视觉检测系统

介绍了一种利用机器视觉技术检测透明灌装瓶内液体体积的系统。该系统首先采集装有液体体积的灌装瓶的图像,然后使用图像处理方法分析图像中液面高度来检测瓶中液体体积是否符合要求。经实验表明,该系统的检测速度能达到30000瓶/小时以上,而且检测误差不大于0.8%。     

基于LabVIEW机器视觉的餐具分拣系统

随着国内工业机器人行业的高速发展,智能装备也开始应用于工程实践项目中。机器视觉作为机器人的眼睛,近年来取得了令人瞩目的发展,正广泛地应用于各种工况监视、成品检验和质量控制领域。系统主要以碗碟餐具的分拣作为研究对象,采用美国NI公司开发的LabVIEW软件作为开发环境,通过调用视觉开发工具包IMAQ Vision及Vision Assistant丰富的专业化控件和函数库,针对碗碟分类的特殊条件,设计出一套方便易用,且同时集成 图像采集、图像处理、视觉检测、决策判断的完整的机器视觉应用系统。基于LabVIEW的机器视觉系统的应用实现了碗碟分拣,解决了实际应用中的一些问题,为进一步的研究开发奠定了较好的基础。该系统的设计大大提高了餐具分类的准确率与效率。     

Machine identification of buds in images of plant shoots

Tissue cultures find increasingly widespread applications for cloning of many plants. Commercial propagation by tissue cultures is limited to ornamental plants, because the cost of skilled labor required cannot compete with conventional propagation methods. To cut down the cost, some automation is essential. A cost-effective approach is to chop the plantlets into segments on a conveying production line while using machine vision for identifying and locating the number and positions of propagation organs in images of the plantlet segments. Plantlet segments without propagation organs will be rejected, while segments with viable buds will be selected for subculturing. To this end, a machine-vision-controlled automatic subculturing system for potato tissue cultures is proposed as a simpler and more cost-effective solution than the popular trend of imitating the manual sub-culturing task by a robot. A simple and relatively fast image-processing algorithm particularly suitable for classification of potato tissue cultures, was developed. In lieu of the general Medial Axis Transform approach, this specialized algorithm takes advantage of the inherent difference between the geometrical shape and gray scale levels of the stems and the leaves as well as of the rather simple connectivity rules of attachment between them. The results indicate that machine inspection and classification of tissue culture plantlets is possible, but considerably more work needs to be done before this technique is fully developed for automating tissue culture processes.     

基于机器视觉的葡萄糖药液质量检测系统设计

提出了基于机器视觉的葡萄糖检测试验方案，介绍了葡萄糖药液视觉检测原理和试验装置硬件结构和工作原理，详细阐述了图像采集卡和摄像机的配合应用和软件工作流程。     

基于图象比对技术的柔性印刷电路板检测系统

柔性印刷电路板(FPCB)以其特有的优点得到了广泛的应用,但传统的人工检测方法提高了生产成本,降低了效率。为了克服这些问题,笔者开发了基于图像模板比对的柔性印刷电路板快速检测的方法。利用标准模板图象与被测产品图象比对,实现了印刷线路几何尺寸的快速检测;应用图象边缘分析技术,实现了对产品的微小缺陷识别,并具此自动划分产品质量等级。对实施结果表明,该系统采用的方法能够满足生产要求,为实现柔性印刷电路板全面自动化检测奠定了良好的基础。     

Fusing multiple image transformations and a thermal sensor with kinect to improve person detection ability

This paper proposes a novel approach to combine data from multiple low-cost sensors to detect people in a mobile robot. Robust detection of people is a key capability required for robots working in environments with people. Several works have shown the benefits of fusing data from complementary sensors. The Kinect sensor provides a rich data set at a significantly low cost, however, it has some limitations for its use on a mobile platform, mainly that people detection algorithms rely on images captured by a static camera. To cope with these limitations, this work is based on the fusion of Kinect and a thermical sensor (thermopile) mounted on top of a mobile platform. We propose the implementation of an evolutionary selection of sequences of image transformation to detect people through supervised classifiers. Experimental results carried out with a mobile platform in a manufacturing shop floor show that the percentage of wrong classified using only Kinect is drastically reduced with the classification algorithms and with the combination of the three information sources. Extra experiments are presented as well to show the benefits of the image transformation sequence idea here presented.     

图像识别技术在零件装配自动识别中的应用

针对工业装配生产线的自动装配问题,基于机器视觉技术,采用图像处理的方法识别定位工件。考虑透镜的径向一阶畸变,采用RAC两步标定法标定摄像机参数,并在线对该文的方法进行了验证。实验结果表明,该方法能够获得很好的识别效果,达到一般装配作业的实时性和精度要求。     

机器视觉系统的自动对焦技术研究

为了解决在工业生产现场复杂环境下机器视觉系统中定焦相机的失焦问题,提出了一种机器视觉定焦相机的自动对焦技术,该技术通过上位机实时对相机采集到的图像进行感兴趣区域(Region of Interest,ROI)裁剪、离散傅里叶变换(Distributed Fourier Transformation,DFT)滤波等预处理过程,再由改进的图像清晰度评价函数对图像清晰度进行评价,最后由运动机构带动相机自动搜寻焦点位置并完成对焦功能。实验结果表明,经过傅里叶变换滤波后,提升了评价函数的灵敏度。通过与几种典型的评价函数对比,提出的方案能有效地排除环境干扰,自动对焦的结果与标准样张最为接近,且在不同物距情况下仍能够高效运行。