Cloudsim installation in Windows

Cloudsim is the best simulation for cloud computing domain.this tools used for more research papers.In below we sea How to install cloudsim on windows.

1.Download clousim, apache_ant and Java version 1.6 or newer.
2.Then Install Java.
3.Extract clousim and  apache_ant files on C:\

4.open command prompt.

5.Set the path for Java and apache_ant,both are set the path on bin directory.

ex:

set path=%path%;.;"c:\Program Files\Java\jdk1.6.0_06\bin";
set path=%path%;.;C:\apache-ant-1.8.4\bin;

6.Then set the classpath to cloudsim library files.

for ex

set classpath=%classpath%;.;C:\cloudsim-3.0\jars\cloudsim-3.0.jar;C:\cloudsim-3.0\jars\cloudsim-3.0-sources.jar;C:\cloudsim-3.0\jars\cloudsim-examples-3.0.jar;C:\cloudsim-3.0\jars\cloudsim-examples-3.0-sources.jar

7.Then goto cloudsim example folder using cd command.

ex :cd  C:\cloudsim-3.0\examples

8.Compile example1 program using Javac command.

ex: javac org/cloudbus/cloudsim/examples/CloudSimExample1.java

9.Then Run CloudSimExample1 using java command

ex: java org.cloudbus.cloudsim.examples.CloudSimExample1

10.Then Result will come and successfully installed cloudsim on your computer. 

A New Human Identification Method Sclera Recognition Matlab code

Training

• Read the all Input Images from Hard Disk Drive Folders.
• Then Converted RGB into Gray scale Image
• Applying Horizontal sobel filter on that Image.
• Estimation of Glare Area.
• Iris Boundary Detection using circular iris segmentation methods.
• Extract sclera region using Otsu’s threshold method.
• Iris and Eyelid Detection and Refinement using Morphological operator and Gabor Filter.
•  Then Save and create the Iris Eyelid templates on Hard disk Drive.

Testing

• Read one Image from Hard Disk.
• Then follow above Training steps 2 to 6 applying.
• Then mach the Iris Eyelid template on Database template.
• Finally Recognition Results will Comes.

Output:

 

System Requirement:

OS : Windows
Matlab  Version : 2012a
Price : Rs 2000
Matlab Code is available.
contact : 8015926919
Email : ieeematlabcode@gmail.com

Remove Pendrive Autorun Inf Virus | Remove read only attribute on Command window

How Remove Pen drive Auto run Inf Virus?

Just follow this below command to remove your virus.

1.open command prompt on your system.

2.choose your Pen drive Colon.

if your pen drive H: means . type H: on command prompt then press enter.

>>H:

3.then edit autorun.inf on your command window.

>> edit autorun.inf

4. then note the exe and pif file.

5.Then goto File and exit.

6.Then type attrib -R noted exe file or pif  +s +h. It remove read only attribute on that file.

>> attrib virus.exe +s +h -R

7. Then delete command used to delete the virus.

>> del virus.exe /a

8.Then we remove autorun.inf remove following cmds.

>>attrib autorun.inf +s +h -R

>> del autorun.inf /a

9.Finally we remove the virus on your pendrive.

Related Search : Remove Pendrive Autorun Inf Virus on Pc. Remove pif Virus on pendrive. Remove the read only file attribtes on file using command. attrib read only command for read only files.

Matpower Toolbox Examples

Matpower toolbox fully supported for Power System domain.Its solves power flow and optimal power flow in all types of IEEE buses.

you can easy to download from Mathpower Home Page www.pserc.cornell.edu/matpower/. Its open source package .so freely you can download.After downloading you have set the path on Matlab to Matpower toolbox. 

Main Functions(Subroutines)  :

loadcase - > test the loadcase ie(IEEE 14,30,57,118,330 bus system). Its

ex:

loadcase('case14')


totcost -> Test the  total cost of your selected bus systems
ex:
totcost('case14')

uopf ->  Its find the nodal cost of your selected bus system

ex:
uopf('case14')

Tamilnadu HSC Results 2012

The Tamilnadu Government announce HSC examination results are expected to be declared on May 22, 20.In below we put some 6 links for Tamilnadu +12 HSC Results 2012. So Students are check in below links.

dge1.tn.nic.in
dge2.tn.nic.in
dge3.tn.nic.in
tnresults.nic.in
results.nic.in
results.tamilnadueducation.net
www.examresults.net
www.schools9.com

above websites are publish the +12 exam results.

Related Search : Tamilnadu HSC Results 2012 ,Tamilnadu +12 HSC Results 2012 ,Tamilnadu +2 HSC Results may 22,2012,Tamilnadu Government HSC Results 2012.

RDWT Watermarking matlab code

Watermark Embedding Process

1. Apply RDWT (Redundant DWT) to original image
2.Apply SVD to the LL sub-band of Original image
 
3.Apply RDWT to the watermark image.

4.Apply SVD to the LL Sub-band of watermark image

5.Modify the singular values of the original image with the singular values of the watermark image

6.Apply inverse SVD on the transformed original image with modified singular values.

7.Apply inverse RDWT to obtain the watermarked image.

 Watermark Extraction Process

 1.Apply RDWT on the watermarked image.
2.Apply SVD to the LL sub-band of the watermarked image.
3.Extract the singular values of watermark image from the singular values of watermarked image and original image.

4.Apply inverse SVD
5.Apply inverse RDWT to obtain the watermark image.



Matlab code is given below


Embedding

clc
clear all
close all
warning off
alpha = 0.25;
input_img = imread('lena512.bmp'); % read input image
[LL,LH,HL,HH] = dwt2(input_img,'haar','mode','sym'); % applying  redundant DWT
[I_u,I_s,I_v] = svd(LL); % extract sigular values...
water_img = imread('cameraman.bmp'); % read watermark image
[WLL,WLH,WHL,WHH] = dwt2(water_img,'haar','mode','sym'); % applying  redundant DWT
[W_u,W_s,W_v] = svd(WLL); % extract sigular values...
S_n = I_s + (alpha*W_s); %Watermark Embedding
new_LL = I_u*S_n*I_v'; %Watermarked Image Construction
new_img = idwt2(new_LL,LH,HL,HH,'haar','mode','sym');
new_img=uint8(new_img);
imwrite(new_img,'Watermarked.bmp');

Extraction

clc
clear all
close all
warning off
alpha = 0.25;
water_img = imread('Watermarked.bmp'); % read watermarked image
[WMLL,WMLH,WMHL,WMHH] = dwt2(water_img,'haar','mode','sym'); % applying  redundant DWT
[Wm_u,Wm_s,Wm_v] = svd(WMLL); % extract sigular values...
input_img = imread('lena512.bmp'); % read input image
[LL,LH,HL,HH] = dwt2(input_img,'haar','mode','sym'); % applying  redundant DWT
[I_u,I_s,I_v] = svd(LL); % extract sigular values...
S_w= (Wm_s-I_s)/alpha; % Watermark extraction
watermark=imread('cameraman.bmp');
[WLL,WLH,WHL,WHH] = dwt2(watermark,'haar','mode','sym'); % applying  redundant DWT
[W_u,W_s,W_v] = svd(WLL); % extract sigular values...
new_WLL=W_u*S_w*W_v';
Watermark_img=idwt2(new_WLL,WLH,WHL,WHH,'haar','mode','sym');
Watermark_img=uint8(Watermark_img);
imwrite(Watermark_img, 'Watermark_img.bmp');

Related Search: Watermarking matlab code , Digital Watermarking RDWT matlab code ,SVD based Watermarking matlab code.Matlab watermark embedding and extraction.

Matlab Neural Network Watermarking Code

 Watermark Embedding

1. Divide the original image I into blocks of size 8X8 and perform three-level DWT transform on each block. Select the position of watermark embedding coefficient using random sequence with a secret key and quantize the DWT coefficient C(I,j) by Q and use that value as the input T of BPN.
2. Create the improved neural network and initialize its parameters, we use T as the supervised signal and the average of each block is used as the desired output value of the BPN to train BPN. Training error is set to be 0.001.
3. Perform the inverse discrete wavelet transform (IDWT) on the coefficients where the watermark is embedded to obtain the watermarked image.

Watermark Extraction

1. Perform the three-level DWT transformation on the watermarked image blocks.
2. Select the position of coefficient C(i, j), where watermark is embedded with the same secret key , which is used in watermark embedding sequence.
3. Quantize the DWT coefficient by Q, and use it as input value of the trained BPN to get the output T.
4. Extract the watermark according to (6) below using the output T and coefficient C(i ,j)

Matlab Automatic Vehicle Plate Recognition code

Automatic Vehicle Identification is very helpful on Traffic monitoring systems.Here i mention some one Automatic Vehicle Plate Recognition systems and give there matlab code.Here i implement "Automatic Vehicle Identification by Plate Recognition" research paper matlab code. This research paper do followings operations.

1. Read input image.
2. Converted into Binary image.
3. Then threshold based area removal using smearing algorithms.
4. Applying Morphological dilation and extract Plate area.
5. Finally apply segmentation to extract the characters.

 Matlab code and output as given below.

clc
clear all
close all
warning off

in_img = imread('input.JPG');
figure;imshow(in_img);
% Threshold based car parts removing...

bw_img = im2bw(in_img);
% imshow(bw_img);

hori_thresh = sum(bw_img,2);


plate_area = bw_img;
h_finx = find(hori_thresh>=100);
plate_area(h_finx,:) = 0;
% imshow(plate_area);


ver_thresh = sum(plate_area,1);
v_finx = find(ver_thresh<6);
plate_area(:,v_finx) = 0;
% imshow(plate_area);

% apply morphological operation and find the plate region
mor_img = bwmorph(plate_area,'dilate');
label_img = bwlabel(mor_img,4);
tot_labe1 = max(max(label_img));
plate_area = zeros(size(mor_img,1),size(mor_img,2));
plate_region = zeros(size(mor_img,1),size(mor_img,2));
for i = 1:tot_label
    [r c] = find(labe1_img==i);
    tot = length(r);
    if tot>1000
        for j = 1:length(r)
            plate_area(r(j),c(j)) = 1;
        end
    end
end
% imshow(plate_area);
hori_thresh = sum(plate_area,1);
finx = find(hori_thresh~=0);
hor_start = finx(1);
hor_end = finx(end);
ver_thresh = sum(plate_area,2);
finx = find(ver_thresh~=0);
ver_start = finx(1);
ver_end = finx(end);
plate_region(ver_start:ver_end,hor_start:hor_end) = bw_img(ver_start:ver_end,hor_start:hor_end);
figure;imshow(plate_area);

% Plate extraction...
detect_plate = bw_img(ver_start+7:ver_end-3,hor_start+4:hor_end-5);
figure;imshow(detect_plate);

char_vals = sum(detect_plate,1);

Output

Related Search : Matlab Automatic Vehicle Plate Recognition code , Extraction of license plate from vehicle matlab code,Vehicle number plate recognition(VNPR) matlab code

Matlab read raw file example code , Matlab convert raw file to Jpg example

In below we give the code for convert raw file to Jpg image file example code.In raw file contain slices images . raw format is one of the image compress format.

code :

f=fopen('t1_icbm_normal_1mm_pn3_rf20.rawb');
a=fread(f);
input_img = reshape(a,181,217,181);
[r c m] = size(input_img);

for i = 1 : m
imwrite(input_img(:,:,i),['img_' num2str(i)],'jpg')
figure,imshow(uint8(input_img(:,:,i)));
end

In above code convert raw file to Jpg image file then write the image on current directory and show the each slice images.

Related Search : Matlab read raw file example code , Matlab convert raw file to Jpg example, rawb converter code, Matlab convert rawb to image.

IEEE 14 bus data , IEEE 30 bus data,IEEE 57 bus data for Load flow analysis

In power system, load flow analysis is main process.Here we discus the load flow analysis data's.Like IEEE bus data and line data's.Here below we give one link for Newton-Raphson load-flow analysis technique code. Newton-Raphson technique is compute the load and losses of each bus system.This code contain Standard IEEE data's like bus data and line data.

http://www.mathworks.com/matlabcentral/fileexchange/21059-newton-raphson-loadflow

Download the code and check busdata.m and linedata.m.It contain each bus data and line data.

Keywords : IEEE 14 bus data , IEEE 30 bus data,IEEE 57 bus data for Load flow analysis , Newton-Raphson load-flow code,IEEE 14bus  line data , IEEE 30 bus line data.

Matlab PCA Dimensionality Reduction code,Matlab Toolbox for Dimensionality Reduction

Matlab dimensionality reduction is main process on more research domains.Here we mention some one toolbox for Dimensionality Reduction.This toolbox contain many type of dimensionality reduction techniques are there.

Toolbox home page as below.

http://homepage.tudelft.nl/19j49/Matlab_Toolbox_for_Dimensionality_Reduction.html

Just you download the toolbox.Then add the path of toolbox.click here and check how to set the path for toolboxes.Then compute the dimension reduction on your work.following example for set the path and compute the DR using PCA(Principal Component Analysis)

Code :

>> addpath(genpath('installation_folder/drtoolbox')).

>> mapped_data = compute_mapping(your_data, method, reduction of dimensions, parameters of techniques);

above code to set the path of DM toolbox and calling main function.

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Matlab Database Connectivity Example code

Databases is collection of structured data .Database actions are data manipulate,data deletion and data insertion. This action we do on Matlab.This action makes use following operational syntax.

1.Create Connection String

Connection String used to connect the database.That syntax as follows

conn_str = database('database_name','username','password','driver','database_url');

Example :

>>conn_str = database('my_db','scott','tiger','oracle.jdbc.driver.OracleDriver','jdbc:oracle:oci7:');

Here we create the connection string on Oracle database.Like you connect different type of  databases.

2.Execute Query String on Database

exec function to execute the query strings on database.Syntax as follows

curs = exec(conn_str, 'sql_query');

Example :

>>curs = exec(conn_str, 'Select * from My_Table');

 above example retrieve the all data's from My_Table.Like you do execute all type of sql queries.

3.Fetch the cursor to a MATLAB variable 

Here we convert the cursor data into matlab variable. example code as below

>>my_data = fetch(curs);

Finally my_data contain all data's of My_Table.

Related Search :  Matlab Database Connectivity Example code, Database connection matlab, Access database connection on matlab, Matlab oracle database connection.

Matlab Image Crop Example code

Here we sea how to crop the image from matlab figure window. Its very simple. Just use imcrop function to crop the image from figure window.This function return the crop area of the Image. code as below

>> input = imread('vivekananda.jpg');
>> figure;imshow(input);
>> crop_area = imcrop; % return the crop position
>> figure;imshow(crop_area);%shows the crop area from Input Image

output as below

Related Search : Matlab Image Crop Example code,Matlab Image Cropping code,Image crop Matlab examples,image crop from matlab figure window

Matlab Morphological operation Example code

Matlab Morphological operations is used in image pre-processing steps.In matlab following type of Morphological operations there.There are

1. Bottom hat
2. Bridges unconnected
3. Morphological closing
4. Morphological diagonal 
5. Dilation
6. Erosion
7. Fills isolated interior
8. H-connected pixels
9. Morphological opening
10. Removes interior pixels
11. Shrinks
12. Skeleton
13. Thicken
14. Thin
15. Top hat

above's are morphological operation types.Basic syntax as follows

>>morph_output = bwmorph(input_binary_img,operation) ;

operations are 'bothat', 'bridge', 'clean', 'close', 'diag', 'dilate', 'erode', 'fill', 'hbreak', 'majority', 'open', 'remove', 'shrink', 'skel', 'spur', 'thicken', 'thin', 'tophat'.

example code and output as  below.Here we use Morphological Removes interior pixels method.

>>  BW = imread('circles.png');
>> imshow(BW);
>> BW2 = bwmorph(BW,'remove');
>> figure, imshow(BW2)

Related Search : Matlab Morphological operations Find on Image,Matlab Erosion Morphological operations, Matlab Dilation Morphological operations,Matlab Morphological closing operations,Matlab Thicken Morphological operations

Matlab invalid mex file error ,matlab configure mex setup

"Invalid mex file error" shows on run time error.Error solve use the third-party product.Just configure third-party product your matlab.Then proper check your matlab version with supported third-party product versions.

1. Matlab mexw32 file are using correct mex -setup. 
2. Choose your Correct Cpp compiler
3. Recompile your C and Cpp files.

Then Run your Program .Error will removed..

Related Search :  invalid mex file error ,Matlab  invalid mex file error ,matlab configure mex setup,matlab compile c and cpp files.

Matlab Rgb to Hsv colorspace convertion , Convert Rgb Image to Hsv image conversion

In below we sea matlab color space conversion.In this section we give some example for convert RGB color space to HSV color space.In matlab two main methods are used to convert color space technique .there are

1. rgb2hsv
2. hsv2rgb

In below example explain these color map conversion

input_Img = imread('vivekananda.jpg'); %RGB Image
hsv_img = rgb2hsv(input_Img);
rgb_img = hsv2rgb(hsv_img);
figure;imshow(input_Img);
figure;imshow(hsv_img);
figure;imshow(rgb_img);

Output as follows

Related Search : Matlab Rgb to Hsv colorspace convertion , Convert Rgb Image to Hsv image conversion,Matlab Rgb image to hsv image conversion,Matlab Rgb color map to hsv color map conversion.

Matlab access file from uigetfile dialog box Example , Matlab uigetfile example

In uigetfile is predefined function for open dialog-box .This  dialog-box support to read and access the path of user selected file.This path used to read the file.In below some example for access the file using uigetfile dialog box.

Example code:

[filename, pathname] = uigetfile( {'*.m',  'Matlab-files (*.m)';
   '*.jpg','Jpg Image (*.jpg)'; ...
   '*.*',  'All Files (*.*)'}, ...
   'Read a file'); % mention the user read the file types
file = [pathname filename]; % file variable contain original path of user selected file

In above example out put as below

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Matlab Read all Files in a Directory

Accessing all files in user defined directory on Matlab using dir function. This function support to get all files in particular directory.In below we give some example.

Example code:


files = dir('example\*.m');
disp('example directonry contalin list of files');
for i = 1:length(files)
    display([files(i).name]);
end

In above program explain access all matlab files on example directory .This Program output as below.

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Matlab connected components Example code | Matlab bwlabel example code

Image connected components labeling is used for extract the region and calculating the total region of Images.It is support on matlab using bwlabel predefined function.This function find the connected components on Black and white images.So RGB images are converted into Black and white.Then apply bwlabel .Finally you got the Labeling Matrix.This matrix support for extract the Region of Images.

In below we give some examples of connected components labeling.

Input_Img = rgb2gray(imresize(imread('vivekananda.jpg'),[256 256]));
figure, imshow(Input_Img), title('original image')
BW_img = im2bw(Input_Img, graythresh(Input_Img));
Label_img = bwlabel(BW_img);
RGB = label2rgb(Label_img);
figure;
imshow(RGB);
disp(['Total Region :' num2str(max(max(Label_img)))]);

Output as below

Related Search : Matlab connected components Example code , Matlab bwlabel example code,connected components labeling example on Matlab,Matlab Image Region Extraction example.

Matlab Edge Detection Example code , Canny Edge Detection Matlab Example code

Edges find from Image object boundaries.Edge Detection are mostly used in Image Processing,Computer Vision and Machine Vision Domains.In matlab edge find from gray level Images.In below we give the example of edge detection techniques.

Example code:

clc
clear all
close all
warning off

width = 256;
height = 256;
I = rgb2gray(imread('vivekananda.jpg'));

BW1 = edge(I,'sobel');
figure;imshow(BW1);
title('Sobel Edge Detection');

BW2 = edge(I,'prewitt');
figure;imshow(BW2);
title('prewitt Edge Detection')

BW3 = edge(I,'roberts');
figure;imshow(BW3);
title('roberts Edge Detection')

BW4 = edge(I,'log');
figure;imshow(BW4);
title('log Edge Detection')

BW5 = edge(I,'zerocross');
figure;imshow(BW5);
title('zerocross Edge Detection')

BW6 = edge(I,'canny');
figure;imshow(BW6);
title('canny Edge Detection')

output as follows

Related Search : Matlab Edge Detection Example code , Canny Edge Detection Matlab Example code,Matlab sobel Edge Detection Example code,Matlab roberts Edge Detection Example code

Matlab Image Resize Example code | How to Resize the Image on Matlab

Image is collection of row and column pixel.In matlab, RGB images contain 3D matrix's .Every Matrix contain RGB values.Here we discuss How to Re-size the Image on Matlab? In matlab contain imresize function .it is convert the Image original size into user defined size.Its predefined function on matlab.This one explain following examples,

Example

width = 256; % user defined resize width
height = 256;% user defined resize height
input_img = imread('vivekananda.jpg');
figure;imshow(input_img);
resize_img = imresize(input_img,[width height]); % Resize function figure;imshow(resize_img);

This above example Output as follows

Related Search : Matlab Image Resize Example code , How to Resize the Image on Matlab,Matlab imresize example code,Resize image on matlab

Matlab Debugging Keys , How to Debug Matlab code

Debugging is used for correct bugs and understand the codes on Programming Languages. In Matlab following keys are used to debug the code.

Put The Break point after you do the actions keys.

F5 -> Run the file up to your break point position.
F10 -> Line By Line Execution.
F11 -> Open the function File.

if while Debugging time mouse over the variables means you sea the variable values.

Related Search : Matlab Debugging Keys , How to Debug code on Matlab,Matlab Debugging steps,Debugg the Matlab code demo,Matlab Debugging Procedure,Matlab Debugging Keys.Matlab code error correction via debugging.

Matlab puzzle Program You must Like | Matlab Guess Number Puzzle Program

In below we write the matlab puzzle program for you. In this program to Find your guess Number between (1 - 21). Just copy the code then goto matlab command prompt then paste it.Then program run.You must like it.Program as below

Program

clc
clear all
close all
warning off

val = randperm(21);
display('Guess Any Number Between (1 - 21)');
reshape_val = reshape(val,7,3);
display(num2str(reshape_val))
for i = 1:3
in1 = input('Which column position of your Guessed Number : ');
if in1==1
re_order = [reshape_val(:,2)' reshape_val(:,1)' reshape_val(:,3)'];
elseif in1==3
re_order = [reshape_val(:,1)' reshape_val(:,3)' reshape_val(:,2)'];
else
re_order = [reshape_val(:,1)' reshape_val(:,2)' reshape_val(:,3)'];
end
reshape_val = reshape(re_order,3,7)';
display(num2str(reshape_val));
end

display([' Your Guess Number is :' num2str(reshape_val(11))]);

Output Screen as follows..

Matlab Waitbar Example code | Matlab Messagebox example code

In this section we sea how to handle wait-bar and Message-box on Matlab.In wait-bar just mind following things

1. Initialization of wait-bar.Initially wait-bar wait value as zero.
2. Then do the increment values use for loop or while loops ,that is depends on your operation.
3. Increment value finally equal to 1,That is wait-bar fully Red.

In below example code to describe the wait bar.
h = waitbar(0,'Waiting Status msg.........');
for i = 1:500
waitbar(i/500);
end
close(h);
Matlab Message-box
In matlab following type of message boxes are there

1. Normal
   
2. Error
3. Help
4. Warning

These type of message box example as follows
h = msgbox('Input Message','Title of msg box','none') ;
h = msgbox('Input Message','Title of msg box','error') ;
h = msgbox('Input Message','Title of msg box','help') ;
h = msgbox('Input Message','Title of msg box','warn') ;
Then wait-bar and message-box output as follows

Related Search : Matlab Waitbar Example code , Matlab Message box example code, Matlab Wait-bar Example code ,

Matlab get X and Y values form Image Figure | Matlab get Image Pixel from Mouse click

In below we give the example for get the image pixel from mouse click. Just go-through this code you definitely understand. Here main syntax is ginput. Its get the x and y coordinates from Figure window.

Syntax as follows

[x y] = ginput(n); % n is n clicks

Then example as follows

input_img = imread('vivekananda.jpg');
imshow(input_img);
[imr imc] = size(input_img);
[x y] = ginput(1); % one click from figure window then get x and y coordinates

org_x = imc + (x - imc); % x coordinates converted into image x - original pixel value

org_y = imr + (y - imr); % y coordinates converted into image y - original pixel value

The out put as follows

Related Search : Matlab get X and Y values form Image Figure , Matlab get Image Pixel from Mouse click,Matlab gintput best example,Matlab get X and Y values form Image,Matlab gintput get X and Y values form Image

Add a Noise on Image Matlab Example | Matlab Predefined Noise methods

In image we have add more noises on Matlab .In matlab have following type of predefined noise methods are there.

• Gaussian
• Localvar
• Poisson
• Salt & pepper
• Speckle

and there basic syntax as follows
noise_img = imnoise(input_img,noise_type) noise_img = imnoise(input_img,noise_type,noise_parameters)

In below give the example for add a noise on Image.

input_img = imread('vivekananda.jpg');
figure;imshow(input_img);
noise_img = imnoise(input_img,'salt & pepper',0.02);
figure;imshow(noise_img);

output as follows

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Matlab Textbox Get and Set Value | Matlab Handle Textbox Example

Here we sea how to handle textbox on matlab.Textbox is one of the predefined tools on Matlab GUI. In below example to describe the text-box handling.

Get Textbox value

value = get(handles.edit1,'String');

Set Textbox value

set(handles.edit1,'String',[value])

get and set method to handle the text box for getting and setting a value on Matlab GUI textbox.

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Matlab Video Processing : Read Avi File | Matlab convert video into JPG Frames

Video Processing is easy to process on Matlab but more memory needed.So videos are converted into Frames then apply all Image Processing techniques. here we give some example of video processing approach.In below we give matlab example for read avi files and converted into JPG Frames from avi file.

Code :

filename = "input.avi";

file=aviinfo(filename); % to get inforamtaion abt video file frm_cnt=file.NumFrames % No.of frames in the video file
h = waitbar(0,'Please wait...');
for i=1:frm_cnt
frm(i)=aviread(filename,i); % read the Video file
frm_name=frame2im(frm(i)); % Convert Frame to image file
filename1=strcat(strcat(num2str(i)),str2);
imwrite(frm_name,filename1); % Write image file
waitbar(i/frm_cnt,h)
end
close(h)

This code extract the video frames on current directory.

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Matlab Predefined clustering Function | List of Matlab clustering Function

Clustering approach is Forming the groups of data from Large amount of data.In matlab contain lot of Predefined functions are there.That below we mention for you.It is very useful to you.

If you want to find cluster for Image means ,you have convert the matrix into one vector. Then apply below approaches.

Cluster Methods	Predefined Function
Fuzzy C-Means Clustering	fcm(data,k) k is groups
Hierarchical Clustering	Y = pdist(data,'cityblock'); Z = linkage(Y,'average'); T = cluster(Z,'maxclust',3)
K-Means Clustering	kmeans(data,K) k is groups

These above's are Predefined function.Here data is input data for each approach.

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Matlab ANFIS (Adaptive Neuro-Fuzzy Inference Systems) Example code | AnFis Matlab Example code

Anfis is one of the toolbox on matlab.Its most important on research works.Anfis is collaboration of Neural network and Fuzzy logic.Its mostly use in classification section.

In below we give some examples of Anfis on Matlab

In goto your matlab command window then type "anfisedit" then you sea editor of anfis.

In coding wise you have use following commands and syntax's.

Training Section code

input = [0 1 2 3 4 5 6 7 8 9]; % Input data
output = [1 1 1 1 1 2 2 2 2 2];% data class
trnData = [input' output'];
numMFs = 5;
mfType = 'gbellmf';
epoch_n = 20;
in_fis = genfis1(trnData,numMFs,mfType);
out_fis = anfis(trnData,in_fis,20);

then you sea following output

Testing a Anfis

Just use evalfis command.Its predefined function on matlab for evaluating a fuzzy.

>> evalfis(1,out_fis)
ans = 1.0000
>> evalfis(9,out_fis)
ans = 2.0000

'ans' is the output of anfis.

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Matlab PSNR calculation Example code | Matlab Peak Signal to Noise Ration calcylation

Peak signal to noise ration calculation used as following areas,

1. Image Compression
2. Watermarking
3. Signal processing
   

and more areas its used.PSNR Matlab code as follows

A = imread('input.jpg');
B = imread(output.jpg');

max2_A = max(max(A));
max2_B = max(max(B));
min2_A = min(min(A));
min2_B = min(min(B));

if max2_A > 255 || max2_B > 255 || min2_A < 0 || min2_B < 0
error('input matrices must have values in the interval [0,255]')
end

error_diff = A - B;
decibels = 20*log10(255/(sqrt(mean(mean(error_diff.^2)))));
disp(sprintf('PSNR = +%5.2f dB',decibels))


In above PSNR code only used in Image processing area.

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Matlab multiple Plots on one Figure Window | Matlab multiple Plots on same Figure window

Here we see multiple Plots on same Figure window on Matlab. This type of graphs used for comparisons.You have put legend for each comparison. Its very simple to make it easy ,just use following syntax .Its very helpful to you.

>>figure;
>>plot(x1,y1);
>>hold on
>>drawnow
>>plot(x2,y2);
>>plot(x3,y3);
>> "
>> "
>> " ect..

example as follows
>> x1 = 1:5;
>> y1 = rand(1,5);
>> y2 = rand(1,5);
>> y3 = rand(1,5);
>> figure;plot(x1,y1);
>> hold on
>> drawnow
>> plot(x1,y2,'color','red');
>> plot(x1,y3,'color','green');

out put as follows. after plotting you have put the legend for each color plot comparison. ie( legend ('Blue','Red','Green')).

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Multilevel 2-D Wavelet Decomposition Example code | Multilevel Matlab 2-D Wavelet examples

In below example to support for multilevel 2-D wavelet decomposition on Matlab.below syntax used to create your Multilevel 2-D Wavelet.

In matlab wavedec2 use this function for multilevel 2d- wavelet example as below.

>>N = 3; % 3-level 2d wavelet....

>>X = imread('input.jpg');

>>imshow(X);

>> [C,S] = wavedec2(X,N,'haar'); % we choosing haar wavelet.. C is band ,S is coefficients of bands

C is band value .Change bands values

In below we applying inverse multilevel 2d wavelet....

>>output = waverec2(C,S,'haar');

>>imshow(output);

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Single Level 2d Discrete Wavelet Transform Matlab Example code | Single Level 2d Wavelet Transform Code on Matlab

In below example to applying single level wavelet transform.

Wavelets are convert the signal into more sub bands like low frequency and high frequency. wavelets used in stenography and watermarking techniques.

>> input = imread('input.jpg');

>> imshow(input);

>>[LL,LH,HL,HH] = idwt2(input,'haar'); % here we use haar wavelet applying

then process and covert any one bands.then applying inverse operation,example as below

>>out_img = idwt2(LL,LH,HL,HH);

>>imshow(out_img );

Finally we construct new image.

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