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

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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)

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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..

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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

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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

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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

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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

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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.

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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

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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

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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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