1. Version 7.9.0.529
12 Aug 2009

2. Content
 Introduction
 Application
 Image processing
 Read & Write Image
 Conversion of image to binary & gray
 RGB component
 Image & Noise filtration
 GUI
 Robotics Application

3. Introduction
 Cleve molar in 1984, Mathworks inc
 Introduced as a simulation tool
 Supports Graphical Programming
 Can be interfaced with other
High Level languages

4. Applications
 Aerospace
 Biometrics
 Robotics
 Medical
 Finance
 Control System
 Signal, Image, Audio and Video
 Animation

5. List of Companies
 ADOBE (Photoshop)
 NASA
 GE
 L&T
 ROBERT BOSCH
 PEPSI , COCACOLA (Neuro Marketing)

6. File Extensions
.fig
MATLAB Figure
.m
MATLAB function, script, or class
.mat
MATLAB binary file for storing variables
.mex
MATLAB executable (platform specific, e.g.
".mexmac" for the Mac, ".mexglx" for Linux, etc.)
.p
MATLAB content-obscured .m file (result of pcode() )

7. Plot
t=0:0.25:7;
y = sin(t);
plot(t,y) ;
xlabel('x axis');
ylabel('y axis');
title('Heading');
grid on;
gtext('text');

8. How to read an image
a =imread('cameraman.tif');
imshow(a);
b=imread('canoe.tif');
imshow(b);

9. Convert image to gray and binary
clc;
clear;
close all
a= imread(‘onion.png');
subplot(2,2,1);
imshow(a);
subplot(2,2,2);
b=imresize(a,[256 200]);
imshow(b);
subplot(2,2,3);
c=rgb2gray(b);
imshow(c);
subplot(2,2,4);
d=im2bw(c);
imshow(d);

10. RGB component
a=imread(‘onion.png');
subplot(2,2,1);
imshow(a);
R=a;
G=a;
B=a;
R(:,:,2:3)=0;
subplot(2,2,2);
imshow(R);
G(:,:,1)=0;
G(:,:,3)=0;
subplot(2,2,3);
imshow(G);
B(:,:,1)=0;
B(:,:,2)=0;
subplot(2,2,4);
imshow(B);

11. NOISE AND FILTER
a = imread(‘coins.png');
b = imnoise(I,'salt & pepper',0.02);
c = medfilt2(J);
subplot(1,2,1);
imshow(b)
subplot(1,2,2);
imshow(c)

12. GUI
Graphical User Interface

13. Choosing oF PUSH & AXIS

14. WRITE THE CODE BELOW THE
CALLBACK
a =imread('cameraman.tif');
axes(handles.one);
imshow(a);

15. RUN THE PROGRAM OR PRESS F5

16. Image Representation
A digital image differs from a photo in that the values are all discrete. Usually
they take integer values. A digital image can be considered as a large two
dimensional array of discrete cells, each of which has a brightness associated
with it. These dots are called pixels.

17. Binary Image
A binary image is represented by an M×N logical matrix
where pixel values are 1 (true) or 0 (false).

18. Webcam Capture
Vid=videoinput(‘winvideo’,1);
Set(vid,’returnedcolorspace’.’RGB’);
Img=getsnapshot(vid);
Imshow(img);

19. Serial Communication
s=serial('COM1');
set(s,'baudrate',9600);
s.baudrate=9600;
s=serial('COM1','baudrate',9600);
get(s,'baudrate');
s.baudrate
ans =
9600
Setup the Connection
fopen(s);
s.Status;
Ans= open

20. Reading from Serial port on MATLAB
void setup()
{
Serial.begin(9600);
}
void loop()
{
if(Serial.available()>0)
{
byte b = Serial.read();
}
}