数字化显微图像分析检测系统的设计研究

传统光学显微图像观测通过计算机硬件和软件技术的实现光电－数字化,是显微图像分析技术在信号化时代的升级换代,本文阐述实现数字显微图像技术跃变过程中若干重要的设计研究问题,包括图像的光电转换,图像处理,静态观测,活态观测和动力学观测,通用和特殊图像处理方法,若干专用显微图像信息处理技术等,并介绍所取得的成果。     

基于Camera Link标准的DSP＋FPGA高速实时数字图像处理系统设计

针对数字图像处理系统数据量大、实时性高、体积小的要求,介绍了一种基于DSP（TMS320C6416）和FPGA（EP2C70）的高速实时数字图像处理系统,阐述了该系统的设计思路、硬件结构、工作原理,并详细描述了该系统的Camera Link硬件接口电路模块、FPGA数据采集和逻辑控制模块、DSP图像处理模块。该系统已经成功应用到实际项目中、图像采集效果满足设计要求。     

An integrated approach to scanning microscope data acquisition

This paper describes an integrated data acquisition system built for a cryogenic STEM which is currently under construction in the authors' laboratory. Advantage was taken of modern digital and microprocessor techniques to construct a versatile and expandable system in the minimum time. The system is able to operate in conjunction with an external image processing computer or as an independent system with built-in image processing facilities.     

数字化裂隙灯生物显微镜外眼图象分析系统

介绍了数字化裂隙灯生物显微镜外眼图象分析系统。系统通过改造传统裂隙灯生物显微镜的摄像光路,用数码相机取代普通光学相机,记录不同尺寸的放大图象,从而获得高清晰度数码图象,利用数字图象处理技术对裂隙灯生物显微镜图象进行处理,为临床提供客观和定量化的诊断依据,同时可以实现患者信息资料与图象的高交存储,管理与远程传输。     

图像处理和分析在肿瘤细胞DNA测量中的应用

本文论述了用于肿瘤细胞DNA倍体分析的图像细胞光度计的原理，并深入探讨了数字图像处理和数字图像分析在其中的应用。     

烟条外观检测软件系统设计

主要研究了烟务外观检测系统软件设计方法.通过对数字图像处理技术的研究,并针对现场情况,提出了图像增强、图像旋转、纹理分析、模板匹配、拉线检测等数字图像处理算法.基于视窗系统,在Visual C++开发平台上,设计了软件的体系结构,编写并调试了各功能模块.现场应用结果表明,系统满足设计要求,具有很高的检测精度和可靠性.     

基于DM642及FPGA的视频处理硬件电路设计

智能视频处理应对大量的数字图像信号进行处理,需选用运算速度快的数字信号处理器作为系统板的核心。TMS320DM642DSP芯片是TI公司推出的针对多媒体处理领域应用的DSP,文章阐述了用DM642及FPGA来实现智能视频处理装置中硬件电路的设计过程,并同时较为详细地介绍了视频处理外围接口电路的设计思路。     

低照度图像存储及微机数据处理系统

本文介绍一种用于激光激发微弱荧光的光电成像系统上的图像存储与实时显示以及计算机处理系统,该系统不仅可以存储和实时显示正常条件下的目标图像,还可以通过数字累加技术显示在低照度条件下的目标图像,并通过计算机系统对图像加以处理,以获取有用的信息。     

图像处理在焊缝跟踪中的应用研究

随着焊接过程自动化和智能化的发展,基于图像处理技术的焊缝位置检测和焊接缺陷检测过程越来越受到国内外学者的重视。本文对焊缝自动跟踪系统中有关图像处理方面的内容作了分析。详细分析了图像处理技术在焊缝跟踪过程中的应用,其中包括图像预处理,边缘检测和特征点提取等图像处理过程;并对当前焊缝跟踪中的图像处理技术存在的问题和解决方法作了一些总结和分析,最后对其应用前景作了展望。     

基于数字图像处理的车牌识别专家系统的研究

车牌识别系统（License Plate Recognition,简称LPR）技术基于数字图像处理,是智能交通系统中的关键技术之一,同时它的发展也十分迅速,已经逐渐融入到我们的现实生活中。对车牌图像预处理、车牌定位与字符分割等技术进行了详细分析,从算法分析和实验研究两个角度,对LPR系统字符识别部分进行了深入研究。文章介绍了车牌识别系统的意义、图像去噪处理以及图像二值化方法,并通过仿真试验模拟了图像处理的过程。实验证明了文中的图像处理方法用于车牌识别的有效性。     

结冰传感器摄像标定方法的研究

讨论了采用摄像法测量厚度的原理实现结冰传感器标定的方法。提出了一种测量结冰厚度的方法，通过对摄像头和图像采集卡采集的结冰数字图像进行处理，提取边界来测量结冰层的厚度，进而对结冰传感器的输出进行标定。描述了测量系统中的光学系统和结冰图像的数字处理过程，并且给出了厚度测量的结果。     

CCD图像存贮与显示系统

本文介绍了在合成孔径雷达光学处理器上所加的一套CCD图像存贮与显示系统.该系统采用线阵CCD器件,对运动的图像采样,其输出信号经A/D变换后,在行同步逆程期间将数字信号逐行写入存贮器中去;在行同步正程期间再将数据读出,经假彩色编码及D/A变换后即可在彩色监示器上显示出滚动的假彩色图像.该系统除了能够即时观察图像之外,还为进一步数字图像处理提供了方便.     

Automated techniques for blood vessels segmentation through fundus retinal images: A review

Retina is the interior part of human's eye, has a vital role in vision. The digital image captured by fundus camera is very useful to analyze the abnormalities in retina especially in retinal blood vessels. To get information of blood vessels through fundus retinal image, a precise and accurate vessels segmentation image is required. This segmented blood vessel image is most beneficial to detect retinal diseases. Many automated techniques are widely used for retinal vessels segmentation which is a primary element of computerized diagnostic systems for retinal diseases. The automatic vessels segmentation may lead to more challenging task in the presence of lesions and abnormalities. This paper briefly describes the various publicly available retinal image databases and various machine learning techniques. State of the art exhibited that researchers have proposed several vessel segmentation methods based on supervised and supervised techniques and evaluated their results mostly on publicly datasets such as digital retinal images for vessel extraction and structured analysis of the retina. A comprehensive review of existing supervised and unsupervised vessel segmentation techniques or algorithms is presented which describes the philosophy of each algorithm. This review will be useful for readers in their future research.     

基于神经网络算法的故障检测技术

针对复杂的机电产品内部构件状态检测这一工程难题,本文介绍了一种自动在线检测系统.该系统采用X射线对产品成像,运用数字图像处理技术对射线图像进行预处理,由神经网络算法进行故障诊断.故障识别模型采用了改进的BP神经网络算法,以正常装配状态时的多幅图像经预处理后作为学习样本训练BP神经网络.检测时一般只需拍摄两幅不同方位的图像,经预处理后输入神经网络与样本图像进行比较判断,即可识别出关键元器件的状态.该系统将数字射线成像技术和图像处理技术相结合,并在故障识别算法中采用了神经网络算法,提高了产品故障的检测速度和可靠性,在工业无损检测领域具有一定的实用性.     

Fast and Simple Motion Tracking Unit with Motion Estimation

Surveillance system using active tracking camera has no distance limitation of surveillance range compared to supersonic or sound sensors. However, complex motion tracking algorithm requires huge amount of computation, and it often requires expensive DSPs or embedded processors. This paper proposes a novel motion tracking unit based on different image for fast and simple motion tracking. It uses configuration factor to avoid noise and inaccuracy. It reduces the required computation significantly, so as to be implemented on Field Programmable Gate Array(FPGAs) instead of expensive Digital Signal Processing(DSPs). It also performs calculation for motion estimation in video compression, so it can be easily combined with surveillance system with video recording functionality based on video compression. The proposed motion tracking system implemented on Xilinx Vertex-4 FPGA can process 48 frames per second, and operating frequency of motion tracking unit is 100 MHz.     

False Alarm Rate Reduction in the Interpretation of Acoustic to Seismic Landmine Data using Mathematical Morphology and the Wavelet Transform

This paper presents a new technique for false alarm rate reduction to improve the performance of automatic object detection systems that operate on digital images. The proposed technique is applied to the images obtained by a Laser Doppler Vibrometer (LDV) based acoustic to seismic (A/S) system. This technique is based on morphological image processing and the discrete wavelet transform (DWT) of the image data. It begins with a color image transformation to obtain a grayscale image and then a closing operation that enhances the larger objects in the image. After that, the DWT is applied to the closed image. The decimation effect of this DWT helps in the removal of small clutter objects the image. The approximation component resulting from the DWT is used in the detection process. Results from the proposed technique are compared to those obtained using traditional detection techniques.     

面向对象的通用图象处理系统的体系结构研究

在面向对象技术的基础上本文提出一个通用图象处理系统的体系结构。它基于通用图象处理系统的基本功能来组织对象,以图象数据对象为核心构建系统框架。基于文档-视图结构,使用VisualC 实现了通用图象处理系统的一个原型系统,该原型系统由图象文件操作模块、图象预处理模块、图象处理模块、人工调整模块、结果输出模块等五个模块组成。对体系结构的模型分析与原型系统的测试表明,该体系结构对图象处理系统的设计开发是非常有效的。     

Assessment and visualisation of machine tool wear using computer vision

Tool wear monitoring is an integral part of modern CNC machine control. Cutting tools must be periodically checked for possible or actual premature failures, and it is necessary to record the cutting history for a tool’s full life of utilisation. This means that an on-line monitoring system would be of great benefit to overall process control in manufacturing systems. Computer vision has already shown promise as a candidate technology for this task. In this paper, we describe the use of digital image processing techniques in the analysis of images of worn cutting tools in order to assess their degree of wear and thus remaining useful life. It is shown that a processing strategy using a variety of image texture measures allows for effective visualisation and assessment of tool wear, and indicates good correlation with the expected wear characteristics.     

航空照片的图像增强研究

航空照相是军事侦察的必要手段,而航空照片常需要后期处理才能获得准确的信息.当光学放大方法已不能获得更多的信息时,数字处理技术就变得非常必要.数字图像处理技术,包括图像增强和边缘提取的算法等都是航空照片处理的常用算法.航空照片图像增强系统,含硬件采样电路和图像处理软件包,软硬件协同工作.系统硬件的部分电路自行设计,另一部分采用成品电路.软件编制的关键是算法的选取,本系统对图像增强和边缘提取的算法进行了应用研究,并对图像处理的具体问题作了相应探讨,给出一种可行的图象处理系统构成方法.