VC与MATLAB的接口及其实现

通过VC和MATLAB的动态接口,在应用软件研制过程中既能发挥VC用户界面开发功能强大和运行效率高等优点,又充分利用了MATLAB的复杂运算和处理能力。这一技术已成功地用于档案图象处理系统的研制,有利于软件功能的提高和开发周期的缩短。     

一种基于MATLAB的图像变换编码的研究方法

以小波编码中的嵌入式零数小波编码在MATLAB环境下的编解码的实现为例,简要介绍了Matlab在图象处理方面的明显优势,同时分析了用Matlab进行图像处理的一些不足。     

基于MATLAB的数字图像人数统计

从视频截取的图象中统计人数,一直是图象处理领域的一个前沿课题,在交通监控、客流量统计、运动分析、虚拟现实等领域都有很高的实用价值。本文提出了一种应用MATLAB软件,基于人体轮廓特征的提取及填充的来统计人数的方法,首先对图像使用中值滤波去噪,然后用canny算子检测出了图像的轮廓,为了得到完整封闭的轮廓线,使用了形态学的方法进行膨胀运算,最后,用MATLAB实现了图像轮廓的填充,实验结果表明,该方法简单有效。     

MATLAB在图象处理与研究中的应用

本文在简要介绍ＭＡＴＬＡＢ软件的基础上,结合其图象处理工具箱,重点分析了ＭＡＴＬＡＢ在图象处理和研究中的应用。文中的具体实例表明,在图象处理研究中使用ＭＡＴＬＡＢ可以提高实验效率,快速实现研究构想,有助于研究工作的开展。     

高光谱图象处理分析系统HIPAS的系统设计及实现

描述了高光谱图象处理与分析系统软件的系统设计,体系结构和主要特点,阐述了高光谱图象处理系统应具备的功能以及面向对象的设计方法在软件系统设计中的应用。实验表明,采用面向对象的设计方法和新一代的编程文３,可以快速开发出性能满足高光谱图象处理。     

基于DSP和S-function的数字图象处理方法与实现

文章以高性能数字信号处理器DM642为核心搭建了数字图象处理系统硬件平台,采用Matlab中的M文件S-function开发了用户自定义算法模块并建立了复杂图象处理算法的Simulink模型,实现了数字图象的高速处理,并以Canny边缘检测算法为例进行了实验。实验结果表明,在DSP平台中实现数字图象处理大大地提高了处理速度,采用S-function自定义算法模块大大地提高了编程效率。     

分形理论在焊接图象处理中的应用

针对焊接过程中的图象处理问题，如检测焊缝边缘位置和确定焊接熔池的边缘大小和形状等问题，由于传统图象处理方法易受噪声和其他干扰信息的影响，因此很难准确及时地处理图象，为了克服此弱点，在比较了焊接过程中图象处理的微观算法和宏观算法的基础上，提出了运用分形理论的综合图象处理方法，该方法是根据焊接过程图象的特点，首先利用图象边缘的分形特征来进行区域分割，以便检测出图象边缘所在的模糊区域，然后用边缘检测方法的Laplace算子和最小二乘法拟合曲线来识别出图象的边缘，同时用该方法进行了实时焊接图象处理实验，实验结果证明，该方法不仅能准确识别出焊接焊缝或熔池图象的边缘，而且节省了图象处理的时间，为焊接过程的实时控制提供了可靠的信息。     

基于WEB SERVICE的在线图象处理系统

通过网络进行分布式计算是计算机应用发展的一大趋势,现有的本地图象处理将不适应这一趋势.针对这种现状,提出并实现了一种先进的、架构在微软.NET平台之上的、基于Web Service的在线图象处理系统.本系统是对未来图象处理软件应用模式的一种大胆探索.系统在服务器端实现图象处理功能并充分利用Web Service技术发布,提供Web服务;客户端则利用Web Application实现对提供服务端的调用,二者共同构成在线图象处理系统.实验证明,该系统具备松散耦合、面向组件的特点,软件更新、维护方便,使用上突破本地限制,能够适应分布式计算的需要.     

科学计算软件MATLAB

今天，无论在生物医学、语音或图象处理、信号分析领域还是其他系统控制领域，都有大量的数学运算，尤其是矩阵运算。这常常会使人们的工作放慢下来，既增加工时，又消耗精力。美国Mathwork公司出品的MATLAB软件，集所有矩阵问题及其计算于一身，易于理解掌握，并可报方便地进行扩充，运算效率极高，不失为一高效的科研助手。因此该软件在1984年一经推出便风行美国。MATLAB是一个交互式程序，“MATLAB”即“matrixlaboratory”的缩写。它的基本数据单元无需指定矩阵的维数，因此解决同样的数值计算问题，使用MATLAB要比使用诸如B…     

光传感器及其使用现状

最近,图象处理引起了普遍的兴趣。人们正在试用光传感器以谋求生产线的自动化。而要把目视检查改为依靠机器自动地进行时,在模型识别问题上遇到了很多困难。在目前还是赶不上人类卓越的模型识别能力。现在,想从数字图象处理的角度来观察一下检查的自动化。 图象处理又分为印刷工程的图象处理、光学图象处理、电气模拟图象处理和数字图象处理等几种。除去印刷工程的图象处理以外,     

基于MATLAB 的遥感图像边缘检测算子的实验比较分析

MATLAB软件工具箱中,提供了edge函数,它能利用多种算子进行图像的边缘检测,语言结构简单。本文就数字图像处理中几种常用的用于检测的算子（Roberts算子、Prewitt算子、Sobel算子、log算子、Canny算子）,通过MATLAB软件来实现遥感图像的边缘检测,对抗噪声能力进行分析,得出各自的优缺点和适用范围。     

VC和MATLAB混合编程方法在迷彩斑块设计中的应用

通过一个迷彩斑块设计实例,阐述VC和MATLAB的混合编程方法在迷彩设计中的应用。使用MATLAB函数调用图像处理工具箱,创建COM接口,从而实现VC＋＋调用该COM接口,并对返回结果进行处理。实现对输入的背景图像进行处理,获得图像的边缘轮廓,为迷彩的斑块设计提供依据。既能充分利用成熟的函数库加快软件开发,成功提取到背景的较闭合边缘,又能保证良好的用户界面及性能。     

Fast correlation method with the use of a wide selection of template in problems of image analysis

The problem of searching for and recognizing fragments of images that correspond to one of a wide variety of template is considered. The method of the fast correlation of a wide selection of trinary template, which successfully resolves this problem, is suggested. The use of this method in two problems of image analysis is shown, namely, the search for position of eyes in documental photographs of faces and the recognition of computer-readable lines in scanned images of documents. Nikolai Ivanovich Glumov. Born in 1962. In 1985, he graduated the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). In 1994, he defended the Candidate of Science (Engineering) Dissertation. Currently, he is working as the Senior Researcher at the Image Processing Systems Institute, Russian Academy of Sciences. His circle of scientific interests involves the image processing and pattern recognition, image compression, and simulation of the systems of formation of digital images. Glumov has more than 90 publications involving more than 30 articles and one monograph (in partnership). He is a member of the Russian Association of Pattern Recognition and Image Processing. Evgenii Valer’evich Myasnikov. Born in 1981. In 2004, he graduated the Samara State Aerospace University and entered the Post-Graduate Education of SGAU. In 2007, Myasnikov defended the Candidate of Science (Engineering) Dissertation. Currently, is working as the Probationer Researcher at the Image Processing Systems Institute, Russian Academy of Sciences and simultaneously as the Assistant of the Department of Geoinformatics at SCAU. The circle of scientific interests involves the creation of software complexes, image processing and pattern recognition, and search for images in databases. Myasnikov has 23 publications, including six articles. He is the member of the Russian Association of Pattern Recognition and Image Processing. Vasilii Nikolaevich Kopenkov. Born in 1978. In 2001, he graduated the Samara State Aerospace University (SGAU). Currently, he is working as the assistant of the Department of Geoinformatics at the SGAU and Junior Researcher at the Image Processing Systems Institute, Russian Academy of Sciences. The circle of scientific interests involves the processing of images of the distanced probing of the Earth, pattern recognition, and geoinformatic systems. Kopenkov has 17 publications, including seven articles. He is the member of the Russian Association of Pattern Recognition and Image Processing. Marina Aleksandrovna Chicheva. Born in 1964. In 1987, she graduated the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). In 1998, she defended the Candidate of Science (Engineering) Dissertation. She currently works as the Senior Researcher at the Image Processing Systems Institute, Russian Academy of Sciences. Her scientific interests include image processing and compression, rapid algorithms of discrete transformations, and pattern recognition. Chicheva has more than 18 articles, including one monograph (in partnership). She is the member of the Russian Association of Pattern Recognition and Image Processing.     

基于图像处理的印刷电路板质量检测系统设计

针对目前印刷电路板工业高速发展的生产要求,设计了基于图像处理的印刷电路板质量检测系统总体结构,阐述了基于图像处理检测系统的工作原理,讨论了图像采集单元中扫描仪的选择,以及扫描仪驱动的设计;讨论了图像处理单元中的图像去噪,图像分割、图像识别算法,运用图像差分运算方法完成了对缺陷的检测。实验结果证明使用该方法能够简单、快速、有效地识别出PCB板上断路、短路和缺损缺陷。     

A Survey of Inverse Rendering Problems

Inverse rendering problems usually represent extremely complex and costly processes, but their importance in many research areas is well known. In particular, they are of extreme importance in lighting engineering, where potentially costly mistakes usually make it unfeasible to test design decisions on a model. In this survey we present the main ideas behind these kinds of problems, characterize them, and summarize work developed in the area, revealing problems that remain unsolved and possible areas of further research. ACM CSS: I.3.6 Computer Graphics Methodology and Techniques I.3.7 Computer Graphics—Three‐Dimensional Graphics and Realism I.4.1 Image Processing and Computer Vision Digitization and Image Capture I.4.7 Image Processing and Computer Vision Feature Measurement I.4.8 Image Processing and Computer Vision Scene Analysis     

浅谈图形图像处理（Photoshop）课程的教学

图形图像处理（Photoshop）课程是计算机相关专业教学内容中重要的一部分,是实践性和创造性很强的一门课程。结合该课程的特点,采用合适的教学方法和教学手段,是激发学生学习乐趣,帮助教师更好地进行教学,提高教学质量的关键。     

An approach for enhancing fingerprint images using adaptive Gabor filter parameters

This work proposes a technique to enhance fingerprint images through the Gabor filter with adaptive parameters. Firstly, the average ridge and valley of each region as well as their direction are evaluated by a specific directional field algorithm. Secondly, since the filter orientation and the frequency parameters vary according to the fingerprint area, the fingerprint topological structure is enhanced by the Gabor filter with adaptive parameters. Finally, experimental tests show accurate final results for the matching step of an on-line recognition process. The text was submitted by the authors in English. Sanderson L. Gonzaga de Oliveira graduated from the Pontificia Universidade Catolica do Parana in 1996 and received his M.Sc. degree in 2004. Currently, he is a doctoral candidate in the Universidade Federal Fluminense, Brazil. His research interests include Image Processing and Computer Modeling. Author of 15 papers. A. Conci is a Dr.Sc. professor in the Department of Computer Science in Universidade Federal Fluminense. Her research interests include Biomechanics, Applications of Computer Vision, and Image Processing. F. M. Viola received his B.Sc. in Computer Science in 1999 and his M.Sc. at Universidade Federal Fluminense in 2006. His research interests include Biometrics and Image Processing.     

Editorial

The editor introduces the first issue of the IET Image Processing, a new research journal from the Institution of Engineering and Technology. The scope of IET Image Processing aims to cover all topics related to generation, communication and processing of visual information, short of what may rightfully be considered to be the domain of computer vision, scene understanding and higher-level pattern recognition     

基于MATLAB维纳滤波算法在图像复原实验的应用

图像复原技术能将质量下降的图像恢复过来,还原图像的本来面目,在日常生活常用于电子监控和医疗摄像方面。主要阐述维纳滤波图像复原算法的理论基础,并画出实现该算法的基本流程图,以及在MATLAB实验平台下进行代码编写,最终得出实验结果并对结果进行分析。     

Real-time color image segmentation based on mean shift algorithm using an FPGA

Journal of Real-Time Image Processing - Image segmentation is one of the most important tasks in the image processing, and mean shift algorithm is often used for color image segmentation because of...