基于机器视觉的塑料制品外观缺陷检测

为了克服传统人工检测方法效率低、自动化和智能化程度低等缺陷,设计了一种基于机器视觉的塑料制品外观缺陷检测方法,利用摄像机进行制品外观缺陷检测,实现制品生产流水线的自动化、智能化检测.介绍了机器视觉检测系统组成.为了提高机器视觉检测系统准确率,对采集到的图像进行了均值滤波和边缘分割检测.结果表明:机器视觉检测系统能够实现...     

图像处理在汽车玻璃行业的应用

提出了利用工业网络通讯和CCD摄像机进行汽车玻璃精确定位的系统集成,并且提出了两种用于不同玻璃类型的算法,阐明了算法的原理及实现的方法。     

Segmentation of map image using opponent color dimensions

This article describes a method for segmentation of color geographic map images based on color opponency. In this method, a color-map image is transformed into a color opponent representation as proposed for human vision. The color contrast is enhanced in a manner analogous to the opponent surround receptive fields. The enhancement process separates adjacent foreground and background regions into pairs of opponent colors. The segmentation process can then be easily completed based on this opponent structure. © 1996 John Wiley & Sons, Inc.     

基于机器视觉系统对喷丝头微孔的自动检测

介绍了一种喷丝头微孔的自动检测的原理及方法;利用机器视觉系统的自动对焦技术,CCD相机采集图像,经图像处理系统转换成数字信号像素即喷丝头微孔的面积,从而实现对喷丝头微孔的自动检测。结果表明:通过机器视觉实现了对喷丝孔的快速精确检测,检测精度控制在0.002 mm,该检测方法提高了喷丝头微孔的检测精度和检测效率。     

基于机器视觉的整体中空复合材料低速冲击损伤程度表征

本文运用机器视觉技术对整体中空复合材料受损程度进行了表征和分析。利用MATLAB软件对受损材料图像进行预处理、图像分割与特征提取、提取出特征值(受损图像的面积、周长等),进而分析低速冲击对整体中空复合材料损伤情况。结果表明,运用机器视觉技术可较为准确地衡量材料表面的受损情况,而且简单、快速、有效。     

剧毒液体灌装机桶口的检测与定位系统

提出一种基于机器视觉技术的定位方法,采用CCD摄像头采集灌装桶盖表面图像,经过图像预处理,中值滤波技术,以及hough变换技术,得到桶盖表面上加注口的位置信息,步进电机带动双轴联动定位工作架运动到加注口的上方,实现加注口的识别与定位,从理论和实践上证明该方法的可行性和准确性。     

基于轮胎标识点的轮胎分类系统研究

针对轮胎制造业中轮胎分类困难的问题,研究了一种基于轮胎标识点的轮胎分类方法。该方法在制造完成后的轮胎侧面,打印上包含不同颜色和形状的规则图形（轮胎标识点）,作为轮胎分类的依据。基于机器视觉理论,研制了一种轮胎标识点识别系统。该系统首先采集轮胎标识点图像,并对标识点图像进　　行相关图像分析处理运算,从而识别出标识点图像的颜色和形状信息。然后,识别系统将标识点信息转换并输送给轮胎分类系统,轮胎分类器依据标识点信息对轮胎进行相应分类。实验结果表明,该轮胎分类方法可 有效地对生产线上的轮胎进行准确分类,提高了轮胎分类效率。     

Analyses of (AD)-sorption for the estimation of pore-network dimensions and structure

The interpretation of pore dimensions based on physical ad-desorption analyses is central to the characterization of pore network structure. Several approaches have been proposed and are commonly employed in the analysis of physical adsorption and/or desorption to deduce the dimensions of the porous network. These approaches assume either theoretical (e.g., BET, the Halsey equation as interpreted by Pierce et al., or the more recent analyses of microporosity) or standard isotherms as model(s) for the sequential calculations required in estimating the pore network dimensions. Subsequent representation of the pore dimensions and the relationship between these distributions in dimension and other experimental parameters (such as catalytic activity, adsorptivity or transport); thus, depend explicitly on the model employed in the analyses. Each instrument currently available for the measurement of porous solid structure by sorption employs the same specific models for the relationship between the volume ad-desorbed and the dimensions of the porous network that is being characterized.This paper analyzes the interpretation of porous dimensions based on the sequential calculations required in the analyses. A new approach is proposed which is based on a modification to current practices reflecting Halsey's original theory for the thickness of the adsorbed layer (as a function of P/P ₀). Further, the calculations of the incremental changes in the exposed surface area are discussed as they relate to pore network structure. A method is proposed to infer the differences in pore shape. Sorption data are analyzed by these new approaches, and these analyses will be compared with those approaches currently employed. Analyses based on these modified approaches provide a dramatically more consistent interpretation of the sorption data and the corresponding pore network structures.     

基于机器视觉的自动检验设备的维护

通过对基于机器视觉的自动检验设备组成及工作原理说明,从光学系统、图像信息处理系统、电气控制和执行机构三方面阐述了如何对其进行维护。     

浮法玻璃原片在线机器视觉检测系统

介绍了一种玻璃原片完整性的机器视觉检测系统。定义了玻璃原片的完整性,阐述了检测原理,系统的检测精度〈1 mm。     

Image-Based Method to Quantify Decellularization of Tissue Sections

Tissue decellularization is typically assessed through absorbance-based DNA quantification after tissue digestion. This method has several disadvantages, namely its destructive nature and inadequacy in experimental situations where tissue is scarce. Here, we present an image processing algorithm for quantitative analysis of DNA content in (de)cellularized tissues as a faster, simpler and more comprehensive alternative. Our method uses local entropy measurements of a phase contrast image to create a mask, which is then applied to corresponding nuclei labelled (UV) images to extract average fluorescence intensities as an estimate of DNA content. The method can be used on native or decellularized tissue to quantify DNA content, thus allowing quantitative assessment of decellularization procedures. We confirm that our new method yields results in line with those obtained using the standard DNA quantification method and that it is successful for both lung and heart tissues. We are also able to accurately obtain a timeline of decreasing DNA content with increased incubation time with a decellularizing agent. Finally, the identified masks can also be applied to additional fluorescence images of immunostained proteins such as collagen or elastin, thus allowing further image-based tissue characterization.     

机器视觉技术在玻璃基板缺陷检测设备中的应用

简单介绍了机器视觉的基本概念及相关组成,分析了以机器视觉为理论基础的光学检测设备在玻璃基板缺陷检测中的应用。通过对玻璃基板常见缺陷的介绍,指出了相关检测设备在具体的缺陷检测中需要注意的事项。     

玻璃缺陷在线检测技术研究

讨论了玻璃缺陷的几种常见类型,探讨了基于计算机视觉、图像处理技术的自动化解决方案。     

医学图像分割方法研究

分析了医学图像处理的基本流程,对医学图像的分割进行了数学描述。探讨了医学图像分析中的三类主要方法,包括基于区域的图像分割,基于边缘的图像分割,基于特定理论的图像分割。详细阐述了阈值法,边缘检测法及分水岭算法的主要思想。     

基于LabVIEW的相机标定技术研究

使用LabVIEW平台和视觉开发模块完成对相机的标定,选用圆点阵标定板,利用Canny算子提取圆形轮廓,然后基于亚像素边缘提取的圆拟合方法提取特征点在图像坐标系下点中心坐标。该方法降低了摄像机标定的难度,极大地缩短了软件开发周期,具有较高的标定精度,能够满足实际工业检测的精度要求。     

机器视觉系统在车底密封涂胶机器人中的应用

介绍了上海通用汽车有限公司车底密封自动工位涂胶机器人中视觉系统的原理以及集成应用。     

叶片形状对涡轮桨搅拌槽内尾涡特性的影响

Particle image velocimetry technique was used to analyze the trailing vortices and elucidate their rela-tionship with turbulence properties in a stirred tank of 0.48 m diameter,agitated by four different disc turbines,in-cluding Rushton turbine,concaved blade disk turbine,half elliptical blade disk turbine,and parabolic blade disk turbine.Phase-averaged and phase-resolved flow fields near the impeller blades were measured and the structure of trailing vortices was studied in detail.The location,size and strength of vortices were determined by the simplified λ2-criterion and the results showed that the blade shape had great effect on the trailing vortex characteristics.The larger curvature resulted in longer residence time of the vortex at the impeller tip,bigger distance between the upper and lower vortices and longer vortex life,also leads to smaller and stronger vortices.In addition,the turbulent ki-netic energy and turbulent energy dissipation in the discharge flow were determined and discussed.High turbulent kinetic energy and turbulent energy dissipation regions were located between the upper and lower vortices and moved along with them.Although restricted to single phase flow,the presented results are essential for reliable de-sign and scale-up of stirred tank with disc turbines.     

机制砂颗粒形状的评价方法及其特征研究

为研究机制砂粒形表征方法及特点,采用集料图像测量系统(AIMS)和数字图像处理(DIP)技术测试了5种机制砂的颗粒形态。基于现有研究存在的不足提出了一种改进的粒形测试方法,并研究了不同粒形表征参数之间的关系。结果表明:随着粒径范围从大到小,机制砂的棱角性呈先增大后减小的趋势,而二维形状值无明显变化规律;0.3~0.6 mm的机制砂可以反映整体粒径范围的棱角性;通过单次投影进行图像处理获取的粒形参数有较大的波动范围,无法准确判断机制砂的颗粒形状;纵横比与凹凸度有较强的相关性,粗糙度与纵横比、圆度、凹凸度的相关性较强,而分形维数与其他几种参数都不具有相关性;通过改进的DIP技术得出的粒形评价结论与AIMS得出的评价结论一致,具有一定的可行性和推广价值。     

基于模糊聚类的彩色图像分割算法

提出了基于HSV空间的模糊聚类彩色图像分割算法。运用模糊C方法（FCM fuzzy clustering measure模糊聚类方法）对颜色量化后的图像进行聚类,结合了彩色图像的色彩和空间信息的特点,并且对聚类结果进行了合并优化,去除了聚类过于细小的部分。