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《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。
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Yen threshold method realized in Matlab environment based on Yen J.C., Chang F.J., and Chang S. (1995) "A New Criterion
for Automatic Multilevel Thresholding" IEEE Trans. on Image
Processing, 4(3): 370-378-Yen threshold method reali
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用C++实现的数字图像处理各个算法源代码 我精心整理的 很难的啊 希望可以给大家带来帮助-With C++ Achieved in various digital image processing algorithms source code, I carefully sorted out very difficult ah hope that we can bring help to everyone
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image processing in c
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In this section i will provide you some basic examples for image processing using C#
Example 1:
Get the RGB and Luminosity histograms using the default C# classes
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This software release consists of a MULTISCALE PIXEL DOMAIN, SCALAR GSM implementation of the algorithm described in the paper:
H. R. Sheikh and A. C. Bovik, "Image Information and Visual Quality"., IEEE Transactions on Image Processing,
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This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEEE Transacti
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster th
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this document explain how to do image processing related stuff in matlab at the same time interfacing C++ and matlab code.It is useful for beginners only and not for the expert people-this document explain how to do image processing related stuff in
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Real time optical flow, and video processing, with support for camera input in Matlab.-Start by running "runMe.m"
Supports input through:
a) synthetically generated test images
b) reading avi-file
c) camera input (requires image aquisit
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This MATLAB software implements the denoising algorithm (the Probabilistic
Patch-Based filter) for images damaged by multiplicative Nakagami-Rayleigh
noise as presented in: Iterative Weighted Maximum Likelihood Denoising
with Probabilistic Patc
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Image Processing With Matlab
A p p l i c a t i o n s in M e d i c i n e a n d B i o l o g y
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This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEE
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This software release consists of an implementation of the algorithm described in the paper: H. R. Sheikh, A. C. Bovik, and G. de Veciana, "An Information Fidelity Criterion for Image Quality Assessment Using Natural Scene Statistics," IEEE
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