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Matlab code for CS reocvery

于 2018-01-31 发布文件大小:77KB

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下载积分: 1 下载次数: 4

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代码说明：

压缩感知图形图像图像处理数据恢复代码(Data recovery of compressed sensing image image processing)

文件列表：

Matlab code for CS reocvery, 0 , 2016-12-08
Matlab code for CS reocvery\Demo_CS_BP.m, 9208 , 2010-07-24
Matlab code for CS reocvery\Demo_CS_CoSaMP.m, 3456 , 2010-07-16
Matlab code for CS reocvery\Demo_CS_GBP.m, 8278 , 2010-07-15
Matlab code for CS reocvery\Demo_CS_IHT.m, 2904 , 2010-07-22
Matlab code for CS reocvery\Demo_CS_IRLS.m, 2903 , 2010-07-15
Matlab code for CS reocvery\Demo_CS_LP.m, 11149 , 2010-07-24
Matlab code for CS reocvery\Demo_CS_OMP.m, 3340 , 2010-07-16
Matlab code for CS reocvery\Demo_CS_SP.m, 3434 , 2010-07-15
Matlab code for CS reocvery\Demo_CS_TVeq.m, 12276 , 2010-07-24
Matlab code for CS reocvery\Demo_CS_TVqc.m, 12388 , 2010-07-24
Matlab code for CS reocvery\lena.bmp, 66614 , 2010-05-11

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2021-04-12 18:18:57下载

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对输入图片进行LBP特征提取，并实现LBP特征可视化( U5BF9 u8F93 u5161 u5D3 u53D3 u53E0 )

2017-04-25 22:49:19下载

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采用haar小波实现二维图像的分解与重构（mallat算法）：(Two-dimensional image using haar wavelet decomposition and reconstruction (mallat algorithm):)

2013-07-16 11:38:37下载

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ct-fbp
ct扇束等角滤波反投影重建算法matlab源码分成源图像创建投影滤波反投影三个文件(ct Matlab reconstruction algorithm which can be used for CT image reconstruction)

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实现对酒瓶子的边缘检测，背景差分，垂直和水平投影等，并可实现计数功能。(Achieve the bottles of edge detection, background difference, the vertical and horizontal projection, and to achieve counting.)

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一些图象处理及机器视觉的matlib工具，例程，有ransac算法，求单应矩阵等等。(some image processing and machine vision matlib tools, routines, ransac algorithm, should seek single matrix, and so on.)

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对图像矩阵进行zigzag扫描,从而达到对图像纹理（灰度值）置乱的效果。( scanning of the image matrix by Zigzag，To achieve the scrambling effect of the image texture (gray value).)

2012-03-18 13:00:03下载

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背景减除的完整算法，《A Statistical Approach for Real-time Robust Background Subtraction and Shadow Detection》作者源代码(The "src" folder contains all of the source code. To run the program, follow these simple steps: 1. Start MATLAB and ensure the "src" folder is your current working directory. 2. Edit "bs.m" and "classify.m" so that the file paths point to the proper directories as specified. 3. In the MATLAB environment type "bs" which will train the background model from the sequence you specified in (2). 4. In the MATLAB environment type "classify" which will classify the sequence of images you specified in (2). 5. Now the classified images should be saved to disk in the folder you specified in (2).)

2012-09-20 16:47:35下载

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