Description: Description: Starting from an image file, it generates a .txt file containing the image in Ascii text format. Platform: |
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Author:gz |
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Description: 《精通MATLAB7.0混合编程》系统地介绍MATLAB 7.0的混合编程方法和技巧。全书共分为13章。第1章和第2章介绍MATLAB的基础知识，第3章简要介绍MATLAB混合编程，第4章至第9章分别介绍几种典型的混合编程方法，包括C-MEX、MATLAB引擎、MAT数据文件共享、Mideva、Matrix和Add-in。第10章、第11章介绍MATLAB与Delphi和Excel的混合编程。第12章介绍MATLAB COM Builder，第13章以图像处理为例介绍了一个综合应用实例。
本书按混合编程的具体方法进行逻辑编排，自始至终用实例描述，每章着重阐述各种混合编程方法的实质和要点，同时穿插了作者多年使用MATLAB的经验和体会。本书既适合初学者自学，也适用于高级MATLAB用户，可作为高等数学、计算机、电子工程、数值分析、信息工程等课程的教学参考书，也可供上述领域的科研工作者参考。
这里是本书所有源码压缩包，内容详尽、实例丰富，包含MATLAB实例的源文件、函数/命令和注解以及程序实例。 -"proficient MATLAB7 mixed programming" system introduced in MATLAB 7.0 Mixed Programming methods and techniques. The book is divided into 13 chapters. Chapter 1 and Chapter 2 on the basis of knowledge MATLAB, Chapter 3 briefed Matlab. Chapter 4-Chapter 9, respectively introduced several typical mixed programming, including C-MEX, MATLAB engine, MAT data file sharing, Mideva, Matrix and the Add-in. Chapter 10, Chapter 11 and Delphi on MATLAB and Excel hybrid programming. Chapter 12 on MATLAB COM Builder, chapter 13 for image processing as an example of a composite application. The book by the mixed programming methods for the specific logic layout description throughout example, Each chapter focuses on a combination of programming and real elements, while full of the author's Platform: |
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Author:yixiao |
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Description: 程序代码说明
P0401：用Prewitt算子检测图像的边缘
P0402：用不同σ值的LoG算子检测图像的边缘
P0403：用Canny算子检测图像的边缘
P0404：图像的阈值分割
P0405：用水线阈值法分割图像
P0406：对矩阵进行四叉树分解
P0407：将图像分为文字和非文字的两个类别
P0408：形态学梯度检测二值图像的边缘
P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象-Procedure Code Description P0401: detection using Prewitt operator Edge P0402: different σ value Log Operators image edge detection P0403: using Canny edge detection image edge P0404: Image Thresholding P0405: water line threshold Image segmentation method P0406: for the matrix quadtree decomposition P0407: the image is divided into text and non-text for these two types of P0408: morphological gradient detected binary image of the edge of P0409: morphological examples- from the PCB to remove all images current lines, retaining only the target chip Platform: |
Size: 40960 |
Author:张甲杰 |
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Description: Author: Abhishek Ivaturi
Summary: SUSAN Edge detection in gray scale images.
MATLAB Release: R13
Required Products: Image Processing Toolbox
Description: Edge detection in gray scale images using the SUSAN algorithm. (takes some time to compute, but i hope to fix it...code is rather crude right now)Does not yet include non maximal suppresion. -Author : Abhishek Ivaturi Summary : SUSAN Edge detection in gray scale images. MATL AB Release : R13 Required Products : Image Processing Toolbox Description : Edge detection in gray scale images using the SU SAN algorithm. (takes some time to compute, but i hope to fix it ... code is rather crude right now) Does not include non maximal yet suppresio n. Platform: |
Size: 8192 |
Author:Jallon |
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Description: Author: David Sedarsky
Summary: MatLab GUI for interface tracking and edge velocity determination
MATLAB Release: R14SP2
Required Products: Image Processing Toolbox
Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract.cfm?URI=ol-31-7-906-Author: David Sedarsky Summary: MatLab GUI for interface tracking and edge velocity determination MATLAB Release: R14SP2 Required Products: Image Processing Toolbox Description: Itrac works on image pairs taken at times T1 and T2, and tracks the motion of features in the images selected using thresholding and edge detection. Two sample image pairs (LIF images of OH in a turbulent flame) are included in the archive. Some of the work that led me to develop Itrac is detailed here: http://www.opticsinfobase.org/abstract . cfm? URI = ol-31-7-906 Platform: |
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Author:Jallon |
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Description: a fast multigrid solver for geometric active contour models
For a detailed description of the method see the paper
G. Papandreou and P. Maragos,
Multigrid Geometric Active Contour Models,
IEEE Transactions on Image Processing, vol. 16, no. 1, pp. 229-240, Jan. 2007. Platform: |
Size: 505856 |
Author:wdbigboy |
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Description: 此源码主要功能是在图像分析时将将边界转换为图像，在图像分割、描述和识别中有较大的用途-Main function of this source is in the image analysis will be converted to the image border, in the image segmentation, description and identification of a greater use of Platform: |
Size: 4096 |
Author:zhai1 |
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Description: 一本有关于数字图像处理的书籍，在这本书中，有着对数字图像处理技术的详细阐述-A digital image processing on the books, in this book, with digital image processing technique for a detailed description of Platform: |
Size: 9658368 |
Author:陈飞 |
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Description: 用维纳自适应滤波器对数字图像进行滤波
程序说明：
本程序在Matlab 6.5 下调试通过
将“程序”目录下的所有文件考到Matlab的“work”目录下，然后在Matlab的command window输入 WienerFilter,回车即可-Using Wiener adaptive filter for digital image filtering process Description: This procedure in Matlab 6.5 under the debugger through the Platform: |
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Author:none |
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Description: 基于标量量化的图像多描述编码（MDSQ）是提高信息传输质量的一种有效方法,本程序利用Matlab 工具在处理矩阵上的灵活性,实现了MDSQ 算法, 并通过解码后的图像证明该方法良好的多描述性能。-Scalar quantization-based image multiple description coding (MDSQ) is to improve the quality of information transmission of an effective method, the procedures for the use of Matlab tool flexibility matrix treatment, realized MDSQ algorithm, and through decoded images show that the method good performance of multiple description. Platform: |
Size: 297984 |
Author:shanyingying |
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Description: 程序代码说明
P0201：MATLAB赋值
P0202：MATLAB中的for循环
P0203：MATLAB中的for循环和if条件
P0205：MATLAB图像处理的基本操作
P0206：MATLAB高级图像处理操作
P0207：根据RGB图像创建一幅灰度图像
P0208：二值图像的取反操作
P0209：用imshow函数显示图像
P0210：在同一个窗口内显示两幅图像-Procedure Code Description P0201: MATLAB assignment P0202: MATLAB s for circulation P0203: MATLAB in if conditions for cycling and P0205: MATLAB image processing basic operation P0206: MATLAB high-level image processing operations P0207: under the RGB image to create a piece of gray images P0208: binary image of the check operation of anti-P0209: display images using imshow function P0210: in the same window display two images Platform: |
Size: 24576 |
Author:pride |
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Description: 程序代码说明
P0201：MATLAB赋值
P0202：MATLAB中的for循环
P0203：MATLAB中的for循环和if条件
P0205：MATLAB图像处理的基本操作
P0206：MATLAB高级图像处理操作
P0207：根据RGB图像创建一幅灰度图像
P0208：二值图像的取反操作
P0209：用imshow函数显示图像
P0210：在同一个窗口内显示两幅图像
-Procedure Code Description P0201: MATLAB assignment P0202: MATLAB s for circulation P0203: MATLAB in if conditions for cycling and P0205: MATLAB image processing basic operation P0206: MATLAB high-level image processing operations P0207: under the RGB image to create a piece of gray images P0208: binary image of the check operation of anti-P0209: display images using imshow function P0210: in the same window display two images Platform: |
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Author:肖伟 |
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Description: 基于Matlab的典型图像增强算法的源码
程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
P0309：运用5种不同的梯度增强法进行图像锐化
P0310：图像的高通滤波和掩模处理
P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理
P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理-They are typical Matlab-based image enhancement algorithm.
Procedure Code Description
P0301: digital image data display matrix and its Fourier transform
P0302: Two-dimensional discrete cosine transform image compression
P0303: the use of gray-scale transformation method of contrast-enhanced images
P0304: Histogram of homogenization
P0305: analog image by Gaussian white noise and salt and pepper noise
P0306: A two-dimensional median filter function by medfilt2 of salt and pepper noise image filtering
P0307: the use of MATLAB s function affected by noise interference filter2 images mean filter
P0308: Image Adaptive Weiner Filter
P0309: the use of five kinds of different gradient enhanced image sharpening method
P0310: Image of high-pass filtering and mask treatment
P0311: the use of Butterworth (Butterworth) low pass filter on the image noise by smoothing treatment
P0312: the use of Butterworth (Butterworth) high-pass filter for sharpening Platform: |
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Author:panghuanzhi |
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Description: Source Codes for Multiple Description Lapped Transform with Prediction Compensation (MDLT-PC)
This page describes the source codes for the multiple description lapped transform with prediction compensation (MDLT-PC) developed in the following papers:
G. Sun, U. Samarawickrama, J. Liang, C. Tian, C. Tu and T. D. Tran, "Multiple description image coding with prediction compensation,?submitted to IEEE Trans. Signal Processing, Feb. 2007.
G. Sun, U. Samarawickrama, J. Liang, C. Tu, and T. D. Tran, "Multiple description image coding with prediction compensation," Proc. 2007 IEEE Int. Conf. on Image Processing, Vol. VI, pp. 513-516, San Antonio, TX, Sept. 2007.
http://www.ensc.sfu.ca/~jiel/ Platform: |
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Author:gygymon |
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Description: 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和BP神经网络分类器，同时采用BP神经网络分类器作为本次基于DCT的人脸识别系统设计的分类器，并对BP神经网络进行分类的算法进行设计，BP神经网络具有学习功能，只要采用本系统对训练图片进行训练，就可以记下图像的相关信息，对于测试图片，就可以很准确的识别出该图片是属于哪个的。最后，本文对整个人脸识别系统设计实验进行了实验分析，实验结果表明本文采用的方法切实有效。- This is the design of the DCT-based face recognition systems. First of all, the background light of the current face recognition and face recognition to discuss the development of research in all aspects of content and applications And then studied the pretreatment of face recognition to discuss the pre-treatment of other face recognition methods,and analysis of the pros and cons of various methods, finally, the use of DCT (discrete cosine transform) image pre-processing to achieve in the face of the reduced-order processing Next on the face image feature extraction have been studied, A brief description of the feature extraction and algebraic geometry feature extraction, while in-depth study based on the DCT and the PCA Transform face image feature extraction in order to achieve face recognition system to identify whether the rate of increase in the research For the choice of classifier, this paper carried out on two of classifier, that is, nearest neighbor classifier and BP neura Platform: |
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Author:刘文珍 |
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Description: Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip-Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following is a short description of the m files in this zip
motionsEstAnalysis.m Script to execute all Algorithms
motionEstES.m Exhaustive Search Algorithm
motionEstTSS.m Three Step Search Algorithm
motionEstNTSS.m New Three Step Search Algorithm
motionEstSESTSS.m Simple And Efficient Search Algorithm
motionEst4SS.m Four Step Search Algorithm
motionEstDS.m Diamond Search Algorithm
motionEstARPSm Adaptive Root Pattern Search Algorithm
costFuncMAD.m Mean Absolute Difference Function
minCost.m minimum cost among macro blocks
motionComp.m motion compensated image creator
imgPSNR.m finds image PSNR w.r.t. reference image
The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip Platform: |
Size: 118784 |
Author:Yashil |
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Description: Program to use your camera as a scanner. Automatically detects the page on the picture.-Description Useful program if you don t have a scanner or need to scan quickly a lot of pages.
It detects the page on the picture, make it rectangular, cut the borders and enhance the contrast.
Function parameters are the input picture filename and output filename.
Some parameters that can be changed are described in the function.
Be careful with the flash of the camera, it creates a non-homogeneous luminosity difficult to clean.
Required Products Image Processing Toolbox
MATLAB release MATLAB 7.5 (R2007b)
Platform: |
Size: 2048 |
Author:谢冉 |
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Description: CBIR is retrieval of images based on some query or example images. It is also called Query based image retrieval. Firstly, this report outlines a description of the primitive features of an image color and shape. These features are extracted and used as the basis for a similarity check between images. The final result is a MatLab built software application, with an image database, that utilized color and shape features of the images in the database as the basis of comparison and retrieval. Platform: |
Size: 304128 |
Author:keerthi |
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Search - image description in matlab