Mathematical topographical correction of XPS images using multivariate statistical methods

For rough heterogeneous samples, the contrast observed in XPS images may result from both changes in elemental or chemical composition and sample topography. Background image acquisition and subtraction are frequently utilized to minimize topographical effects so that images represent concentration variations in the sample. This procedure may significantly increase the data acquisition time. Multivariate statistical methods can assist in resolving topographical and chemical information from multispectral XPS images. Principal component analysis (PCA) is one method for identification of the highest correlation/variation between the images. Topography, which is common to all of the images, will be resolved in the first most significant component. The score of this component contains spatial information about the topography of the surface, whereas the loading is a quantitative representation of the topography contribution to each elemental/chemical image. The simple‐to‐use self‐modelling mixture analysis (Simplisma) method is a pure variable method that searches for the source of most differences in the data and therefore has the potential to distinguish between chemical and topographical phases in images. The mathematical background correction scheme is developed and validated by comparing results to the experimental background correction for samples with differing degrees of topography. Copyright © 2004 John Wiley & Sons, Ltd.     

Widrow-cellular neural network and optoelectronic implementation

A new type of optoelectronic cellular neural network has been developed by providing the capability of coefficients adjusment of cellular neural network (CNN) using Widrow based perceptron learning algorithm. The new supervised cellular neural network is called Widrow-CNN. Despite the unsupervised CNN, the proposed learning algorithm allows to use the Widrow-CNN for various image processing applications easily. Also, the capability of CNN for image processing and feature extraction has been improved using basic joint transform correlation architecture. This hardware application presents high speed processing capability compared to digital applications. The optoelectronic Widrow-CNN has been tested for classic CNN feature extraction problems. It yields the best results even in case of hard feature extraction problems such as diagonal line detection and vertical line determination.     

激光水下扫描成像系统的图像修正机理

同步扫描系统可以克服后向散射，但同时也产生了两种非线性，一是扫描线速度的非线性，一是由于距离对光能衰减造成的非线性，两种非线性都需要修正，本文从原理上讨论水下激光成像时能量衰减的修正原理与修正方法，并给出仿真结果。     

数字全息中再现像分离问题的研究

详细分析了数字全息的再现像分离条件,指出数字全息和普通全息的再现像分离条件之间的区别,同时也讨论了再现条件对数字全息记录光路的要求,同时给出一种能部分避免再现像重叠的处理方法,并做出相应的实验验证.     

浅谈摄象中光的运用技巧

摄象过程中，画面质量由设备因素及人的因素所决定，在拍摄过程中，为了摄取优质、逼真的视频图象，必须掌握布光、用光的技巧和艺术，光的明暗对比度的调整和确定是摄象机使用过程中的重点与难点。     

数码相机原理与系统设计研究

介绍了数码相机的工作原理 ,分析了数码相机的系统结构 ,提出了设计数码相机的处理流程。典型的数码相机系统有镜头、闪光灯、光学取景器、LCD显示屏、图像数据存储扩展设备接口、图像数据传输接口、供电系统以及核心处理器等八个主要模块。数码相机的数据流向从图像传感器开始 ,止于图像数据的存储和传输。数据流的处理主要包括模数转换、光学黑电平钳位、针对镜头的边缘畸变的运算修正、坏像素处理、白平衡处理、伽马校正、色彩合成处理、边缘检测 (锐度检测 )和伪彩色检测 (伪彩色抑制 )、JPEG压缩和图像存储器等模块     

实时实现MPEG2运动估计的DSP处理系统

本文根据ＭＰＥＧ２的图像标准与要求，利用若干大规模集成电路芯片，设计了实时实现活动图像运动估计的ＤＳＰ处理系统板，通过序列图像的测试，证明其工作正常，性能可靠，完全符合ＭＰＥＧ２的技术规范，从而为我国近期实现ＭＰＥＧ２的编解码系统、乃至ＨＤＴＶ实验系统在硬件方面打下了良好的基础。     

Riding on Tyvek-A Case Study about How a New Material Invented by Western Multinational Company Enters China

This paper is a case study about how a new product developed by Western multinational company enters new market ?the Mainland China. In this study, a new fabric ?DuPont's hi-technical Tyvek?PU Coating, is fashionized and developed into a new fashionable and functional casual-rainwear, using the approach of new product development method ( idea generation; screening; business analysis; development; evaluation and testing; commercialization).     

基于小波压缩的二值图像图视密码学的改进

图视密码学方案最初由Naor和Shamir在 1994年欧洲密码学会议上提出 ,但像素扩展太大 ,生成分存图像太大。采用小波变换对分存图像进行压缩 ,有效地降低了分存图像规模。