Application of statistical modeling of image spatial structures to automated visual inspection of product quality

Automated visual inspection (AVI) attracts increasing interest in product quality control both academic and industrial communities, particularly on mass production processes, because product qualities of most types can be characterized with their corresponding surface visual attributes. However, many product images in AVI systems are comprised of stochastically accumulative fragmentations (particles) of local homogeneity, without distinctive foregrounds and backgrounds, which brings great challenges in computer analysis, e.g., rice images, fabric images, and consequently, in the intelligent identification of the product qualities. A method of Weibull distribution (WD)-based statistical modeling of image spatial structures (ISSs) to inspect automatically the product quality is presented. The ISS, obtained with multi-scale and omnidirectional Gaussian derivative filters (OGDFs), was demonstrated to be subject to a representative WD model of integral form based on the theory of sequential fragmentation in advance. The WD-model parameters (WD-MPs) of the ISS, with essential human perceptual significance, were extracted as the visual features for product quality identification. The classification performance of the proposed product quality inspection method, namely, the proposed WD-MP features integrated with an introduced spline regression (SR) classifier in this study, was verified on two case studies in the field of the AVI of product quality, namely, automated rice quality classification, and intelligent fabric quality assessment in the corresponding assembly lines of industrial scale. Experimental results indicate that the proposed WD-MP features can effectively characterize the statistical distribution profiles of ISS of complex grain images, piled with a large number of stochastically accumulative fragmentations. The proposed method provides an effective tool for grain image modeling and analysis and consequently lays a foundation for the intelligent perception of product qualities on assembly lines.     

Modeling traffic operations at electronic toll collection and traffic management systems

Automatic Vehicle Identification (AVI) technology is one possible solution to traffic congestion at existing transportation facilities. This paper presents a mathematical model of traffic conditions for toll plaza facilities that includes AVI toll collection services among other conventional services.

Three types of services are available: manual toll service, in which transactions are handled by a toll collector, automatic toll service, in which coin machines are utilized, and AVI toll collection service. In addition, mixed lanes, which provide more than one of the above services, are considered by the model.

For a given rush hour, queue lengths and delays can be calculated for different toll plaza configurations. Comparison of their performance may aid operators in the management of the lane configurations until all users of the facility become AVI patrons.     

基于DirectShow的AVI流客户端设计与实现

DirectShow是windows平台下进行多媒体开发的有效工具,分析了DirectShow体系结构、基本原理,介绍了构建DirectShow应用程序的基本步骤,利用DirectShow的体系结构,给出了基于DirectShow的客户端AVI播放器的设计,并且在VC＋＋下实现.     

基于VFP6.0的动画播放

Visual FoxPro是国内非常流行的可视化数据库开发工具，结合实例介绍了在VFP6．0实现动画播放的技术和过程。     

基于Named Pipe网络通信系统设计与实现

NamedPipe是一种简单，相对安全的数据通信方式，采用NPFS系统接口，使用UNC标识，可以用来进行活动图像的传递，介绍了在局域网环境利用NamedPipe进行网络通信系统的设计与实现方法。     

AVI录像机开发

使用微软的vfw32．lib进行视频捕获,使用winmm．lib进行音频捕获,使用XVID编解码库xvidcore.dll进行视频编码,结合AVI文件的结构,开发了可以实现录像功能的实用程序,录像存储在AVI文件中。     

DirectShow技术在网络视频压缩中的应用研究

在诸多视频压缩标准中,MPEG-4以其高压缩比和高性能倍受人们的青睐,成为网络视频应用中的主流视频压缩技术之一。在实际的应用研究中,考虑到MPEG-4算法的复杂性,本文依托VisualC＋＋的开发平台和Microsoft的Direct—Show技术,在DirectShow搭建的系统中加入DivX或XviDCodec编码器,来完成具有MPEG-4压缩功能的视频应用,既可以绕开MPEG-4复杂的算法,又可以取得很好的压缩效果,从而提高了开发的效率。     

DirectShow技术在视频转码中的应用研究

随着计算机技术和多媒体技术的发展,数字视频技术在现实生活中获得了广泛的应用。在实际应用中,经常需要把视频从一种格式转变为另一种格式,文中就运用DirectShow来进行视频转码作了介绍,并且以AVI文件转换为ASF文件为例,说明了如何利用DirectShow技术来构建格式转换方案,以及如何编程实现这个方案。     

Augmented AVI video file for road surveying

This paper presents a novel video augmentation approach: a video recording of a real entity augmented by structured data. This augmented video is a self-contained entity integrating values of perceptible and non-perceptible attributes of the same real entity. It simplifies data search, storage and management. Streaming, sharing, collaboration and synchronization are also simplified by the fact that the structured data (so-called augmented data) are integrated in the video file and therefore only one file needs to be manipulated. Our approach was applied to address the issues which road engineers experience while using the ROad Measurement and Data Acquisition System (ROMDAS). The ROMDAS system collects and analyses the road-condition state through video recordings and the data corresponding acquired by specific measuring devices. Currently, however, road engineers have to search the videos manually in order to find details of interest provided by the analysis of the data measured due to the separation of the video from the data. The ROMDAS system manages a large collection of road-condition data. It does not offer history management of video recordings of the same road captured at different time. We present this hybrid video augmentation system: the Augmented Video stream Framework (AVF). It allows creation, search, history management and playback of such augmented video files for effective road surveying based on the discrete data recorded in parallel to the video recordings. The AVF provides road engineers with effective and more comfortable perceptible and non-perceptible data search, storage and history management to be used for (collaborative) road inspection and maintenance.     

基于MATLAB的AVI视频影像分解与压缩

为了实现对AVI(Audio Video Interleaved)文件中视频影像的分析和处理,提出了一种根据AVI文件的存储结构、利用Matlab中的音视频处理函数aviread等编程的方法,将AVI文件中的视频数据流读出并存储为一系列BMP文件,再进行小波变换压缩后写入AVI文件.利用该方法,实现了AVI视频影像的分解、合成及压缩,编程简单、数据处理可靠、程序运行高效.