Description: Video Reading Code for Matlab. This some C++ and mex code written as a Matlab wrapper around the ffmpeg video reading libraries. It should compile under Windows and Linux. (The Windows compilation requires mingw gcc. Extact installation instructions are included in a Readme.txt in the downloaded files.) Thus from within Matlab one can grab the RGB data from specified frames from a named video file. The code should be able to read all video clips that are readable by ffmpeg. Note that we are making this code freely available, however no promises are made as to its reliability or that the code will be supported. However, if bugs are found and easy to fix, then new releases will probably be made available. It should be noted also that ffmpeg is lgpl. -Video Reading Code for Matlab. This some Files and C code written as a wrapper around Matlab the ffmpeg video reading libraries. It should c ompile under Windows and Linux. (The Windows co mpilation requires mingw gcc. Extact installa tion instructions are included in a Readme.txt in the downloaded files.) Thus from within Matlab ab one can grab the RGB data from specified frame 's from a video file named. The code should be able to read all video clips that are readable by ffmp eg. Note that we are making this code freely avai Cheers, however no promises are made as to its reliabili ty or that the code will be supported. However, if bugs are found and easy to fix. then new releases will probably be made availab le. It should be noted also that ffmpeg is lgpl. Platform: |
Size: 5313 |
Author:薛斌 |
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Description: 来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It
covers functions such as image file reading and writing, filtering, segmentation,
feature extraction, camera calibration, camera exterior orientation, display,
color space conversion and blackbody radiators. The Toolbox, combined
with MATLAB and a modern workstation computer, is a useful and convenient
environment for investigation of machine vision algorithms. It is possible to use
MEX files to interface with image acquisition hardware ranging from simple
framegrabbers to Datacube servers.-from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg Platform: |
Size: 2459775 |
Author:杨愚根 |
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Description: 学习和使用matlab和c语言混合编程的文件-learning and the use of Matlab and c mixed programming language documents Platform: |
Size: 128000 |
Author:许小可 |
Hits:
Description: Video Reading Code for Matlab. This some C++ and mex code written as a Matlab wrapper around the ffmpeg video reading libraries. It should compile under Windows and Linux. (The Windows compilation requires mingw gcc. Extact installation instructions are included in a Readme.txt in the downloaded files.) Thus from within Matlab one can grab the RGB data from specified frames from a named video file. The code should be able to read all video clips that are readable by ffmpeg. Note that we are making this code freely available, however no promises are made as to its reliability or that the code will be supported. However, if bugs are found and easy to fix, then new releases will probably be made available. It should be noted also that ffmpeg is lgpl. -Video Reading Code for Matlab. This some Files and C code written as a wrapper around Matlab the ffmpeg video reading libraries. It should c ompile under Windows and Linux. (The Windows co mpilation requires mingw gcc. Extact installa tion instructions are included in a Readme.txt in the downloaded files.) Thus from within Matlab ab one can grab the RGB data from specified frame 's from a video file named. The code should be able to read all video clips that are readable by ffmp eg. Note that we are making this code freely avai Cheers, however no promises are made as to its reliabili ty or that the code will be supported. However, if bugs are found and easy to fix. then new releases will probably be made availab le. It should be noted also that ffmpeg is lgpl. Platform: |
Size: 5120 |
Author:薛斌 |
Hits:
Description: 来自澳大利亚Qeensland大学的计算机视觉Matlab工具箱。
This Toolbox provides a number of functions that are useful in computer vision,
machine vision and related areas. It is a somewhat eclectic collection reflecting
the author s personal interest in areas of photometry, photogrammetry, colorimetry. It
covers functions such as image file reading and writing, filtering, segmentation,
feature extraction, camera calibration, camera exterior orientation, display,
color space conversion and blackbody radiators. The Toolbox, combined
with MATLAB and a modern workstation computer, is a useful and convenient
environment for investigation of machine vision algorithms. It is possible to use
MEX files to interface with image acquisition hardware ranging from simple
framegrabbers to Datacube servers.-from Australia Qeensland University of Computer Vision Matlab toolbox. This Toolbox provides a number of functions tha t are useful in computer vision, machine vision and related areas. It is a somewh at eclectic collection reflecting the author's personal interest in areas of photometry. photogrammetry, colorimetry. It covers functions such as image file reading and writing, filtering, segmentation and feature extraction. camera calibration. camera exterior orientation, display, color space conversion and blackbody radiator s. The Toolbox. MATLAB and combined with a modern workstation c omputer. is a useful and convenient environment for OAS stigation of machine vision algorithms. It is p ossible to use MEX files to interface with image acquisition hardware ranging from simple fram eg Platform: |
Size: 2459648 |
Author:杨愚根 |
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Description: 本书介绍了MATLAB 7.X版本与其他语言混合编程的方法。内容包括在MATLAB中以文件方式导入、导出数据；在Windows和Linux开发C/C++语言的MEX文件；在Windows和Linux开发FORTRAN语言MEX文件；在MATLAB中使用动态连接库文件；在C/C++语言中调用MATLAB引擎；使用MATLAB编译器，以及如何在C/C++程序中使用mcc编译的库函数；在C++程序中使用MATLAB的COM编译器产生的COM组件等。
本书可以作为高等院校各工程专业的教学参考书，也是广大科技工作者必备的参考用书。-This book introduces MATLAB 7.X version of the mixed language programming with other methods. Included in MATLAB in order to document the way in import, export data in Windows and Linux to develop C/C++ language MEX documents in Windows and Linux development FORTRAN language MEX documents in the use of MATLAB dynamic link library file in C/C++ Calling MATLAB language engine using MATLAB compiler, and how C/C++ programs compiled using the library function mcc in C++ program using the MATLAB Compiler COM components generated by COM. This book can serve as institutions of higher learning of the engineering profession of teaching reference books, scientific and technological workers is necessary for the majority of reference books. Platform: |
Size: 12986368 |
Author:马段 |
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Description: This code enables you to use the "new" and "delete" keywords in C++ to allocate and deallocate your memory. This enables you to create objects with constructors dynamically.
Normally, using new and delete in MEX files might leak memory if the user presses Ctrl+C or the MEX file terminates with an error. This code modífies "new" and "delete" to register all allocated memory with MATLAB s memory manager.
No modifications to existing C++ code is required.-This code enables you to use the "new" and "delete" keywords in C++ to allocate and deallocate your memory. This enables you to create objects with constructors dynamically.
Normally, using new and delete in MEX files might leak memory if the user presses Ctrl+C or the MEX file terminates with an error. This code modífies "new" and "delete" to register all allocated memory with MATLAB s memory manager.
No modifications to existing C++ code is required. Platform: |
Size: 3072 |
Author:ewizlab |
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Description: C-mex files for MATLAB encounter the following problem when compiling
them with WATCOM 11.0: All access-functions to files (fprintf, fscanf)
cannot handle double variables, only integer and strings are read or
written correctly. The file convert.c contains two functions: You may
read a double-variable as a string from the file and convert it to a
double (function string2double) and you may convert a double to a string
(function double2string) and write it to a file (see main() in
convert.c).
The file conditio.dat is an example of numbers read by convert.c. The
conv.exe was compiled on a Windows95-system.
The files were tested for MATLAB 5.2 and WATCOM 11.0a
result of "ver" is: MATLAB Version 5.2.1.1420 on PCWIN-C-mex files for MATLAB encounter the following problem when compiling them with WATCOM 11.0: All access-functions to files (fprintf, fscanf) cannot handle double variables, only integer and strings are read or written correctly. The file convert.c contains two functions: You may read a double-variable as a string from the file and convert it to a double (function string2double) and you may convert a double to a string (function double2string) and write it to a file (see main () in convert.c). The file conditio.dat is an example of numbers read by convert.c. The conv.exe was compiled on a Windows95-system. The files were tested for MATLAB 5.2 and WATCOM 11.0a result of " ver" is : MATLAB Version 5.2.1.1420 on PCWIN Platform: |
Size: 34816 |
Author:李维 |
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Description: FAST K-NEAREST NEIGHBORS SEARCH
-FAST K-NEAREST NEIGHBORS SEARCH
Description You can find the description at:
http://www.advancedmcode.org/gltree.html
A Pro Version has been published on:
http://www.advancedmcode.org/gltree-pro-version-a-fast-nearest-neighbour-library-for-matlab-and-c.html
Acknowledgements The author wishes to acknowledge the following in the creation of this submission:
K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH
This submission has inspired the following:
K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH, FAST K-NEAREST NEIGHBOURS SEARCH 3D VERSION
MATLAB release MATLAB 7.5 (R2007b)
Other requirements Need a mex compiler
Zip File Content
Other Files BuildGLTree2DFEX.cpp,
BuildGLTree2DFEX.m,
DeleteGLTree2DFEX.cpp,
DeleteGLTree2DFEX.m,
GLTree2DFEX.cpp,
GLTree2DFEX.h,
license.txt,
NNSearch2DFEX.cpp,
NNSearch2DFEX.m,
TestMexFiles.m
Platform: |
Size: 8192 |
Author:谢冉 |
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Description: Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction.
The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function.
You will need to compile the MEX functions - in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system.
Run the function spiralexample.m in Matlab. -Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction.
The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function.
You will need to compile the MEX functions- in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system.
Run the function spiralexample.m in Matlab. Platform: |
Size: 1469440 |
Author:rizq |
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Description: this the source code for the radon transform. it is the c file. u have to save this file as c file and then compile it using mex compiler in matlab.-this is the source code for the radon transform. it is the c file. u have to save this file as c file and then compile it using mex compiler in matlab. Platform: |
Size: 4096 |
Author:yogs |
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Description: this is a source code to simulate BUCK CONVERTER using c-language integrating in Matlab, or simple called as c-mex language. You can compile this file using command "mex buckconv.c" Platform: |
Size: 1024 |
Author:kurniawanwp |
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Description: 自己用matlab与c接口方法编写的可以用matlab调用的C程序，实现Viterbi译码（软硬都可）。使用前在matlab里输入：mex - 文件名.c；-A c file can be used in matlab script to achive Viterbi Decoding (Error Control Coding) for both Hard Decision and Soft Decision. Platform: |
Size: 4096 |
Author:Li Bo |
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Description: G-P算法计算关联维的 Matlab 程序 (升级版，mex函数，超快)
-----------------------------------
更新部分：
引入限制短暂分离参数，使该参数大于序列平均周期时，去除了同一轨道前后点的关联，
使 r 值较小时，ln r - ln C(r) 曲线接近线性
-----------------------------------
文件夹说明：
1、GP_Algorithm_main.m - 程序主文件
2、LorenzData.dll - 产生Lorenz离散数据
3、normalize_1.m - 数据归一化
4、CorrelationIntegral.dll - 计算关联积分-GP method to calculate the correlation dimension of the Matlab program (upgrade version, mex function, ultrafast)----------------------------------- update parts: the introduction of restrictions on temporary separation parameters, so that the sequence of parameters than the average cycle, in addition to the same orbit around the point and makes a relatively small r, ln r- ln C (r) curve is nearly linear----------------------------------- Folder Description: 1, GP_Algorithm_main.m- the main program file 2, LorenzData.dll- generate Lorenz discrete data 3, normalize_1.m- data normalization 4, CorrelationIntegral.dll- calculate correlation integral Platform: |
Size: 7168 |
Author:weidance |
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Description: Main reasons to write a MEX-file are:
1. To use pre-existing C/C++ or Fortran routines in Matlab
without having to recode them.
2. Increase speed: most effective on loops. Platform: |
Size: 92160 |
Author:ahmed |
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Description: The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation.
There is a demo.m file in this package, which shows how to run a simple demo.
The package is used by:
[1] Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications , Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004.
-The C++/MEX implementation of Gradient Vector Flow (GVF) is much faster than the Matlab implementation.
There is a demo.m file in this package, which shows how to run a simple demo.
The package is used by:
[1] Quan Wang, Kim L. Boyer, The active geometric shape model: A new robust deformable shape model and its applications , Computer Vision and Image Understanding, Volume 116, Issue 12, December 2012, Pages 1178-1194, ISSN 1077-3142, 10.1016/j.cviu.2012.08.004.
Platform: |
Size: 6144 |
Author:NandaAldira |
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Description: 1、首先下载emd工具箱，50楼网址里面可以下。下载后解压放在matlab的work工作路径下package_emd文件夹。
2、打开matlab，选择File- Set Path- Add with Subfolders-你刚才下载的工具箱（package_emd）点进去- Save- Close。
3、此时选择work下package_emd文件夹作为工作路径，即是C:\Program Files\MATLAB\R2010a\toolbox\package_emd。
4、在Command Window里面输入mex -setup回车，问是否选择已有的编译器你选y回车，再问选择哪个编译器，你可以选择C++的那个选择相应的编号（如 2）回车，然后让你核对是否选择对了编译器等等，你输入y回车。就安装成功了(In 4, Command Window mex -setup y enter enter enter, you choose to ask whether the choice of compiler, ask which compiler, you can select the corresponding C++ number (such as 2) enter, and then let you check whether the choice of the compiler, you enter y. The installation has been successful) Platform: |
Size: 101376 |
Author:huaxia009
|
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Description: 1、首先下载emd工具箱。下载后解压放在matlab的work工作路径下package_emd文件夹。
2、打开matlab，选择File- Set Path- Add with Subfolders-你刚才下载的工具箱（package_emd）点进去- Save- Close。
3、此时选择work下package_emd文件夹作为工作路径，即是C:\Program Files\MATLAB\R2010a\toolbox\package_emd。
4、在Command Window里面输入mex -setup回车，问是否选择已有的编译器你选y回车，再问选择哪个编译器，你可以选择C++的那个选择相应的编号（如 2）回车，然后让你核对是否选择对了编译器等等，你输入y回车。就安装成功了(This EMD program is programmed in MATLAB
1, download the EMD toolbox first. After downloading, unzip the package_emd folder under the work work path of MATLAB.
2, open MATLAB, select File- Set Path- Add with Subfolders-the toolbox (package_emd) you have just downloaded - Save- Close.
3, at this time, select the package_emd folder under work as the work path, that is, C:\Program Files\MATLAB\R2010a\toolbox\package_emd.
4, Command Window mex -setup y enter enter enter, you choose to ask whether the choice of compiler, ask which compiler, you can select the corresponding C++ number (such as 2) enter, and then let you check whether the choice of the compiler, you enter y. The installation was successful) Platform: |
Size: 99328 |
Author:马达兔 |
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Search - c to mex file in matlab