Description: GUI for Multivariate Image Analysis of 4-dimensional data (Matlab Code)-GUI for Multivariate Image Analysis of 4-d imensional data (Matlab Code) Platform: |
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Author:廖智茗 |
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Description: 利用水平积的方法对一个2维的图像进去去噪处理,在MATLAB下实现的代码-The level of plot to use the method to a 2-D image denoising into treatment, in the MATLAB code to achieve Platform: |
Size: 54272 |
Author:xuk |
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Description: AffineTransformation computes and applies the geometric affine transformation to a 2-D image.
The program main functions are:
- Load Image: Load the image to be transformed.
- Transform Image: Computes the transformation matrix from the transformation parameters specified by the user, then it applies the transformation to the loaded image.
- Save Image: Save the transformed image.
- Quit: Exit the program.
The transformation parameters are specified by the user by editing the
values of the rotation, scale (x and y), and shear (x and y). The
translation is not icluded because it can be easily (normalized or) removed from the image by
subtracting the shape cetroid.
The affine matrix and the affinr transformation are computed using Matlab Image Processing Toolbox
functions: maketform and imtransform. So this program is only demonstrates and facilitates the computation and the applying of these functions to a 2-D image.
Platform: |
Size: 44032 |
Author:chouchoumao |
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Description: This code is improving parts of the image with imcrop according to the 2-D histogram (mesh).-This code is improving parts of the image with imcrop according to the 2-D histogram (mesh). Platform: |
Size: 35840 |
Author:paz |
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Description: The missing code with resources on http://www.alphamatting.com, matlab implementation for [1] A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. Platform: |
Size: 3332096 |
Author: |
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Description: MATLAB医学影像处理实验(内含14个原代码及教学的说明)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fourier transform of a square function is a SINC function
(5)1-D low-pass filters and their point-spread functions
(6)2-D low-pass filters and their point-spread functions
(7)Fourier Transform of circles and an ellipse
(8)Image rotation and magnification
(9)MR k-space data reconstruction and low-pass filter
(10)Display an image in gray level
(11)Display an image in color
(12)Region of interest selection and display
(13)Cross correlation between temperature and humidity
(14)Independent component analysis of mixed music files -MATLAB Medical Image Process Experiments (including 14 source code and course documents)
(1)Plot a sine function using MATLAB, and write the data into a file
(2)Read data from a file, plot a SINC function, and append the result back to the same file
(3)Plot a Gaussian distribution using MATLAB
(4)Fourier transform of a square function is a SINC function
(5)1-D low-pass filters and their point-spread functions
(6)2-D low-pass filters and their point-spread functions
(7)Fourier Transform of circles and an ellipse
(8)Image rotation and magnification
(9)MR k-space data reconstruction and low-pass filter
(10)Display an image in gray level
(11)Display an image in color
(12)Region of interest selection and display
(13)Cross correlation between temperature and humidity
(14)Independent component analysis of mixed music files Platform: |
Size: 2280448 |
Author:江儜昶 |
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Description: matlab入门教程简单与详细版本、matlab神经网络源程序工具箱 、turbo码的c语言和matlab仿真程序 加州大学一博士写的基于sift的图像匹配源代码,.rar-matlab simple and detailed version of the Getting Started tutorial, matlab neural network toolbox source code, turbo codes in c language and matlab simulation program written by University of California, a Ph.D. sift-based image matching the source code,. rar Platform: |
Size: 10574848 |
Author:陈君 |
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Description: This library contains helper functions to read image frames into matlab from Video
file using DirectShow. This library has borrowed codes from Ashwin Thangali s
"DirectShow (DirectX) based AVI file reader", and it can read multiple video formats besides avi.
Features:
a) can read frames from rmvb, avi, etc.
b) handles most codecs installed on the system
d) its implementation is only based on the IMediaDet interface
-- Depending on your Matlab version, the .mexw32 files may need to be renamed as .dll
-- The library usage is as follows,
[avi_hdl, avi_inf] = dxVideoOpen(avi_filename)
pixmap = dxVideoReadMex(avi_hdl, frame_num)
img = reshape(pixmap,[avi_inf.Height,avi_inf.Width,3])
dxVideoCloseMex(avi_hdl)
-- recompile the library
I have compiled the code with the DirectShow lib in Microsoft DirectX 9.0 SDK Update (December 2004)
-- known limitation
a)only works for windows :(
b)may be slow for big image frames and some codecs. -This library contains helper functions to read image frames into matlab from Video
file using DirectShow. This library has borrowed codes from Ashwin Thangali s
"DirectShow (DirectX) based AVI file reader", and it can read multiple video formats besides avi.
Features:
a) can read frames from rmvb, avi, etc.
b) handles most codecs installed on the system
d) its implementation is only based on the IMediaDet interface
-- Depending on your Matlab version, the .mexw32 files may need to be renamed as .dll
-- The library usage is as follows,
[avi_hdl, avi_inf] = dxVideoOpen(avi_filename)
pixmap = dxVideoReadMex(avi_hdl, frame_num)
img = reshape(pixmap,[avi_inf.Height,avi_inf.Width,3])
dxVideoCloseMex(avi_hdl)
-- recompile the library
I have compiled the code with the DirectShow lib in Microsoft DirectX 9.0 SDK Update (December 2004)
-- known limitation
a)only works for windows :(
b)may be slow for big image frames and some codecs. Platform: |
Size: 17408 |
Author:marwa |
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Description: image inpainting
-CS7495 Final Project
Sooraj Bhat
Object Removal by Exemplar-based Inpainting
USING THE CODE
Everything was done in Matlab and MEX (i.e. a C function callable from
Matlab). First, the C code needs to be compiled. At the Matlab
prompt, type:
mex bestexemplarhelper.c
You should then be able to run the following (which takes ~2mins on my
2GHz Pentium 4 laptop with 256MB of RAM):
[i1,i2,i3,c,d,mov] = inpaint( bungee0.png , bungee1.png ,[0 255 0])
A smaller run (~25 seconds) would be:
[i1,i2,i3,c,d,mov] = inpaint( bw0.png , bw2.png ,[0 255 0])
To visualize:
plotall
close movie(mov)
SAMPLE IMAGES & RESULTS
*0.png The original images ( bw and bungee )
*{1,2}.png The different fill region masks.
*P2.png Plots of confidence and data terms.
*P5.png Plots of original, fill region, inpainted images and
confidence and data terms.
Other images in the dir contain redundant information. I di Platform: |
Size: 1769472 |
Author:majb |
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Description: matlab code that make an image with capability of rotataing, shifting, .. and compute 2-d DFT. Platform: |
Size: 1024 |
Author:ali |
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Description: Pass the Images Through Optics -- Use a Gaussian "Aperture Function"
This code segement can use a measured aperture function just as easily - simply replace the next five lines by "load measured_aperture" where measured_aperture is the measured function strored in ASCII and the data stored in the file measured_aperture.mat is a MATLAB .mat file that contains the matrix apfunction. (in MATLAB type "help load" for how to use load and look at the c and fortran code that shows how to read and write MATLAB .mat files).
(Note: When the Point Spread Function is Gaussian, then so is the Aperture function)
To simulate the effect of the tracker optics, each of the movie frames is now blurred using a 2-D FFT (Fast Fourier Transform). The first frame of the resulting image is shown in Figure 1.
- Pass the Images Through Optics -- Use a Gaussian "Aperture Function"
This code segement can use a measured aperture function just as easily - simply replace the next five lines by "load measured_aperture" where measured_aperture is the measured function strored in ASCII and the data stored in the file measured_aperture.mat is a MATLAB .mat file that contains the matrix apfunction. (in MATLAB type "help load" for how to use load and look at the c and fortran code that shows how to read and write MATLAB .mat files).
(Note: When the Point Spread Function is Gaussian, then so is the Aperture function)
To simulate the effect of the tracker optics, each of the movie frames is now blurred using a 2-D FFT (Fast Fourier Transform). The first frame of the resulting image is shown in Figure 1.
Platform: |
Size: 1024 |
Author:sabah_altaie |
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Description: Gabor滤波器经常被用于形状检测和特征提取,比如增强指纹图像。本代码用matlab实现了一个二维Gabor滤波器。
代码使用如下:
function [G,gabout] = gaborfilter1(I,Sx,Sy,f,theta)
from gaborfilter1 with different f(Frequency) and theta(Angle).
for example
f:0,2,4,8,16,32
theta = 0,pi/3,pi/6,pi/2,3pi/4
then for any input image like(eg. stereo.jpg)
you have 6x5 = 30 filtered images.
You can choose your desired angles or frequencies.
You can put nominaly Sx & Sy = 2,4 or some one else.
For instance I tested above example on ( cameraman.tif )(in MATLAB pictures)
I = imread( cameraman.tif )
[G,gabout] = gaborfilter1(I,2,4,16,pi/3)
figure,imshow(uint8(gabout)) -Gabor filters are often used for shape detection and feature extraction, such as the enhanced fingerprint image. Matlab implementation of the code is a two-dimensional Gabor filter. Use the following code: function [G, gabout] = gaborfilter1 (I, Sx, Sy, f, theta) from ' gaborfilter1' with different f (Frequency) and theta (Angle). For example f: 0,2,4, 8,16,32 theta = 0, pi/3, pi/6, pi/2,3 pi/4 then for any input image like (eg. stereo.jpg) you have 6x5 = 30 filtered images. You can choose your desired angles or frequencies. You can put nominaly Sx & Sy = 2,4 or some one else. For instance I tested above example on (' cameraman.tif' ) (in MATLAB pictures) I = imread (' cameraman.tif' ) [G, gabout] = gaborfilter1 (I, 2,4,16, pi/3) figure, imshow (uint8 (gabout)) Platform: |
Size: 1024 |
Author:郑碧波 |
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Description: Image descriptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE
Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437. In
case of publication with this code, please cite the paper above.- Image descriptor based on Histogram of Orientated Gradients for gray-level images. This code
was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable
Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE
Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437. In
case of publication with this code, please cite the paper above. Platform: |
Size: 2048 |
Author:Arij |
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Description: MATLAB图像增强程序举例,灰度变换增强程序,直方图灰度变换,直方图均衡化程序举例d等-MATLAB image enhancement program for example, enhanced gray-scale transformation program, histogram gray level transformation, histogram equalization and other programs for example d Platform: |
Size: 291840 |
Author:段少雄 |
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Description: “基于度信息的图像过渡区提取与分割”MatLAB源码,自己编的,绝对原创。-Matlab code of "Degree information based image transition region extraction and segmentation". Platform: |
Size: 92160 |
Author: |
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