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matlab web server的一个M文件-Matlab web server of a document M
Date : 2008-10-13 Size : 4.2mb User : 陈华

人脸定位和识别的完整MATLAB代码,在国外网站上偶然得到的-face localization and identification of the integrity of MATLAB code, the foreign web sites the chance
Date : 2008-10-13 Size : 244.57kb User : fanxubo

matlab web server的一个M文件-Matlab web server of a document M
Date : 2026-01-10 Size : 4.2mb User : 陈华

人脸定位和识别的完整MATLAB代码,在国外网站上偶然得到的-face localization and identification of the integrity of MATLAB code, the foreign web sites the chance
Date : 2026-01-10 Size : 244kb User : fanxubo

This a research (and didactic) oriented toolbox to explore the PROSAC algorithm. The functions are reasonably well documented and there is a directory containing examples to estimate lines and homographies in presence of outliers. However a previous exposure to the algorithm may be very helpful in understanding the options available. I am currently trying to finish a tutorial, a sort of RANSAC for dummies, but it is still work in progress: keep an eye on my web page -This a research (and didactic) oriented toolbox to explore the PROSAC algorithm. The functions are reasonably well documented and there is a directory containing examples to estimate lines and homographies in presence of outliers. However a previous exposure to the algorithm may be very helpful in understanding the options available. I am currently trying to finish a tutorial, a sort of RANSAC for dummies, but it is still work in progress: keep an eye on my web page
Date : 2026-01-10 Size : 409kb User :

自适应中值滤波程序 自己根据mathworks网站的源程序 改进而来 非常详细 拿来即可用-Adaptive median filter in accordance with the procedures themselves MathWorks Web site to improve from a very detailed source code can be used with
Date : 2026-01-10 Size : 1kb User : 刘言

Loading YUV CIF file to create Y U V matrix.And have CIF download web.
Date : 2026-01-10 Size : 1kb User : 張志遠

最佳接缝法纹理合成的MATLAB代码,有图像例子,有网页说明,具体算法参照文献:Image Quilting for Texture Synthesis and Transfer-Texture synthesis method the best joints of the MATLAB code, there are examples of images, there are web pages that refer to the specific algorithm literature: Image Quilting for Texture Synthesis and Transfer
Date : 2026-01-10 Size : 564kb User : PanHao

Tracking Algorithm: Object Delineation Method Files: Cmorph02.m Current version of tracking algorithm Parsampleflowgrav050901b1.m Sample parameter file 一种跟踪方法 国外网站转载-Instructions: Download the tracking algorithm and sample parameter file. The parameter file is set up for the sample movie on the lab web page, or use your own uncompressed avi and adjust the parameter file. Place all 3 in your Matlab root directory. Type: Cmorph02( Parsampleflowgrav050901b1 ).
Date : 2026-01-10 Size : 12kb User : Ming

本实验要求将任意一个RGB图像转换为web-safe RGB图像,并要求将图6.8转换为web-safe RGB彩色图像,图像的原始格式为jpg格式,要求将结果图像也转换为jpg格式。该实验中首先编写把RGB图像转换为web-safe RGB图像的通用程序,然后调用这个程序实现对图6.8的转换。-Requirements of this experiment will be any RGB image is converted to web-safe RGB images, and requested that the map 6.8 converted to web-safe RGB color image, the image of the original format for jpg format, also called for the results of the image converted to jpg format. First of all, the preparation of the experiment the RGB image is converted to web-safe RGB image of the general program, and then call the procedure to achieve the conversion of Figure 6.8.
Date : 2026-01-10 Size : 55kb User : jhm

用MATLAB编写的5个程序,,其中有三个用到高阶谱分析箱HOSA,,可在pudn网站下载这个工具箱。另外有计算信息熵和图像处理的MATLAB程序,,均为自己编写-MATLAB prepared with five procedures, which use higher-order spectral analysis of three boxes HOSA,, can be downloaded from the web sites in the toolbox pudn. In addition, the calculation of information entropy and the MATLAB image processing procedures, all I have written
Date : 2026-01-10 Size : 6kb User : maofei47

根据网址http://www.caip.rutgers.edu/riul/research/code.html 提供的代码,对Meanshift图像分割进行了封装实现,提供了Matlab和C两种调用接口。-According to Web site http://www.caip.rutgers.edu/riul/research/code.html the code provided on the packaging Meanshift image segmentation was achieved, providing two kinds of Matlab and C Call Interface.
Date : 2026-01-10 Size : 4.86mb User : Li Yanli

提供了网址http://www.caip.rutgers.edu/riul/research/code.html 的MS 分割法进一步封装,包括Matlab接口和C语言接口。-Provides a web site http://www.caip.rutgers.edu/riul/research/code.html further segmentation of MS packages, including Matlab interface and C language interface.
Date : 2026-01-10 Size : 4.86mb User : Li Yanli

使用camshift方法进行运动目标跟踪,(修改了网上原有的camshift算法里的一些bug)-moving object tracking by camshift method,(modification edition of the original code on the web)
Date : 2026-01-10 Size : 3kb User : 于鸿飞

本书介绍如何用Python开发科学计算的应用程序,除了介绍数值计算之外,还着重介绍如何制作交互式的2D、3D图像,如何设计精巧的程序界面,如 何与C语言编写的高速计算程序结合,如何编写声音、图像处理算法等内容。书中涉及的Python扩展库包括NumPy、SciPy、SymPy、 matplotlib、Traits、TraitsUI、Chaco、TVTK、Mayavi、VPython、OpenCV等,涉及的应用领域包括数值 运算、符号运算、二维图表、三维数据可视化、三维动画演示、图像处理以及界面设计等。   书中以大量实例引导读者逐步深入学习,每个实例程序都有详尽的解释,并都能在本书推荐的运行环境中正常运行。此外,本书附有大量的图表和插图,力求减少长篇的理论介绍和公式推导,以便读者通过实例和数据学习并掌握理论知识。 -The goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts), written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization steering simulations and computational experiments equipping old programs with graphical user interfaces making computational Web applications and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun- on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The second edition features new material, reorganization of text, improved example
Date : 2026-01-10 Size : 4.4mb User : yoyo

David G.Lowe的SIFT算子 Matlab实现,运行前要把siftWin32文件放在Matlab的win目录下,具体调用请参照README- code for detecting and matching SIFT features David Lowe (lowe@cs.ubc.ca) Version 4, July 6, 2005 This directory contains compiled binary programs for finding SIFT invariant features that can run under Linux or Windows. In addition, there is a Matlab script as well as C source code showing how to load the features and do simple feature matching. See the web page at http://www.cs.ubc.ca/~lowe/keypoints/ for references to the relevant papers describing this approach.
Date : 2026-01-10 Size : 363kb User : 将为人父

Web-Safe Colors In order to complete this project, it is necessary that you find a program capable of generating the RGB component images for a given tif color image. For example, MATLAB s Image Processing Toolbox can do this, but you can also do it with image editing programs like Adobe s Photo-Shop or Corel s PhotoPaint. It is acceptable for the purposes of this project to convert an image to RGB (and back) manually. (a) Write a computer program that converts an arbitrary RGB color image to a web-safe RGB image (see Fig. 6.10 for a definition of web-safe colors). (b) Download the image in Fig. 6.8 the book web site and convert it to a web-safe RGB color image. Figure 6.8 is given in tif format, so convert your result back to tif (see comments at the beginning of this project). Explain the differences between your result and Fig. 6.8.-Web-Safe Colors In order to complete this project, it is necessary that you find a program capable of generating the RGB component images for a given tif color image. For example, MATLAB s Image Processing Toolbox can do this, but you can also do it with image editing programs like Adobe s Photo-Shop or Corel s PhotoPaint. It is acceptable for the purposes of this project to convert an image to RGB (and back) manually. (a) Write a computer program that converts an arbitrary RGB color image to a web-safe RGB image (see Fig. 6.10 for a definition of web-safe colors). (b) Download the image in Fig. 6.8 the book web site and convert it to a web-safe RGB color image. Figure 6.8 is given in tif format, so convert your result back to tif (see comments at the beginning of this project). Explain the differences between your result and Fig. 6.8.
Date : 2026-01-10 Size : 93kb User : 杨杨

【论文源代码】M. C. Stamm and K. J. R. Liu, Anti-Forensics of Digital Image Compression , IEEE Trans. on Information Forensics and Security, vol. 6, no. 3, pp. 1050 - 1065, Sep. 2011.-This code was written by Matthew C. Stamm at the University of Maryland, College Park. He can be reached by email at mcstamm@umd.edu or on the web at: http://www.ece.umd.edu/~mcstamm/ This code is written for research purposes only. Full copyright information about this code appears at the bottom of this document. All publications resulting research that made or makes use of this code should at minimum cite the following paper: M. C. Stamm and K. J. R. Liu, Anti-Forensics of Digital Image Compression , IEEE Trans. on Information Forensics and Security, vol. 6, no. 3, pp. 1050- 1065, Sep. 2011. Instructions: In Matlab, call the file DCTwipe . It should be done like this: [wiped,wipedflags,PSNR]= DCTwipe(im,lumaQtable) or [wiped,wipedflags,PSNR]= DCTwipe(im,lumaQtable,chromaQtable) INPUTS: im- Image file to be anti-forensically modified. This should already be read into Matlab using imread. It can be either black and white or full color. lumaQta
Date : 2026-01-10 Size : 16kb User : jinxiao

与matlab有关的,非常实用的一些网页 很好的 不错的-Associated with the matlab, some of the very practical good good web pages
Date : 2026-01-10 Size : 268kb User : luwrcocadle

随着科学技术的飞速发展,机器学习与人工智能技术的不断创新,人们对特定信息检索的需求逐渐增加,使得如何对资源进行合理有效的分类成为一个关键问题。近几年来,基于内容的图像分类的研究焦点主要集中在自然图像的场景分类和物体分类两个方面,大多采用有监督学习方法,通过对底层特征建模和中间语义分析来实现分类。 本文基于Libsvm的图像分类研究及实现,主要针对的是物体分类这一方面,选用了五类水果作为分类研究的对象。对图像进行分类的大体步骤主要包括采集图像样本(主要从Web上获取)、图像预处理(如截成大小一致的图片)、特征向量提取、结合Libsvm进行模型训练、对测试图片进行分类测试。(With the rapid development of science and technology, the continuous innovation of machine learning and artificial intelligence technology, the demand of people for specific information retrieval increases gradually, and how to classify resources reasonably and efficiently becomes a key issue. This article based on Libsvm image classification research and implementation, mainly for the object classification on the one hand, the selection of five types of fruit as the classification of the object of study. The general steps of image classification include collecting image samples (mainly obtained from the Web), image preprocessing (such as cutting the same size of the image), feature vector extraction, combined with Libsvm model training, the test images were classified test.)
Date : 2026-01-10 Size : 1kb User : 安安*
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