my first ppt

1. IMAGE PROCESSING
ON MATLAB
PRESENTED BY
RM.NAATCHAMMAI
(III-ECE)

2. ABSTRACT
1. MATLAB introduction-commands-operators-
functions-GUI
2. Image Processing Basics formats of image, colors
3. Techniques:enhancement,restoration,water
marking,cryptography,steganography,image
fusions
4. Algorithms-example programs
5. Real-time applications-project based ideas.

3. Introduction
 MATLAB  MATrix LABoratory
 Developed by CleveMoler in 1984 as a teaching tool
 High performance language for technical computing
 Typical uses are,
numerical computation
 Data analysis ,plotting and visualization
 Graphical user interface building
Algorithm development and modelling

4. General Purpose Commands
 clc , clear ,close all
 save
 who , whos
 cd , ls
 disp
 Version
 Pwd
 Floor,round,abs
 date

5.  ARITHMETIC OPERATORS
 +:ADD,-:SUB,*:MATRIX MUL,/:MATRIX DIV,
 .*:ARRAY MUL,./:ARRAY DIV
 LOGICAL OPERATORS
 AND &,OR |,NOT~
 RELATIONAL OPERATORS
 <,==,>,<=,>=,~=.
 BITWISE OPERATORS
 Bitand ,bitcmp,bitor,bitmax,bitxor,
bitset,Bitget,bitshift

6. FUNCTIONS
 PLOT linear plot
 STEM discrete plot
 GRID add grid lines
 XLABEL add X-axis label
 YLABEL add Y-axis label
 TITLE add graph title
 SUBPLOTdivide figure window
 FIGURE create new figure window
 PAUSE wait for user response

7. GUI FILE&M-FILE IN MATLAB
 Usually matlab has two file formats they are,
 M-file
 Gui –file
 GUI FILE:A graphical user interface (GUI) is a user
interface built with graphical objects, such as
buttons, text fields, sliders, and menus. In general,
these objects already have meanings to most
computer users.
 M-FILE: It is built with codings,here we use coding
to run the programs.

8. USER INTERFACE CONTROLS
 Push Buttons
 Toggle Buttons
 Radio Buttons
 Checkboxes
 Popup Menus
 Edit Text
 Axes
 Static Text
 Figures

9. IMAGE PROCESSING
o Image –It is define as the group of pixels
o Image formats
o .JPG/.JPEG - Joint Photographic Experts Group
o .GIF - Graphics Interchangeable Format
o .TIFF - Tagged Image File Format
o .PNG - Portable Network Graphics
o .BMP - Bitmap format
o Applications of image processing
o Research
o Survillence
o Medical

10. oPRIMARY COLOURS
oSECONDARY COLOURS
oCODE CONVERSION

11. IMAGE PROCESSING TECHNIQUES
oEnhancement
o Restoration
o Watermarking
oCryptography
oSteganography
oFusion
o Retrieval
oSegmentation

13. WATER MARKING
• Water Marking – Embed the secret image in an
image or any type of multimedia data.
• We should hide the image without changing
original image quality.
• Water marking is used only for copyright
protection
• The applications of water marking are,
• Tele – broadcasting
• Web-applications
• There are two types of water marking they are,
• Visible water marking
• Invisible water marking

14. STEGANOGRAPHY
o Hiding a Secret data in Digital Images without affecting the
quality of Medium. This image is called as StegoImage.
Original Image Stego Image
Application
o Send secret communication like Military applications

15. Fusion – Process of Combining two different
scanned images to get a single image having
more relevant information of those twos
Types:
Pixel Level Fusion
Feature Level Fusion
Decision Level Fusion
IMAGE FUSION
Rule1: Averaging
Rule2: Maximum
Rule3: Minimum

16. SEGMENTATION OUTPUT
Cluster1 Cluster2
Cluster3 Cluster4

17. TO READ AN IMAGE
a =imread('cameraman.tif');
imshow(a);
ADD TWO IMAGES
I = imread(‘rice.tif');
J = imread('cameraman.tif');
K = imadd(I,J,'uint16');
imshow(K,[])

18. CONVERT IMAGE TO GRAY AND
BINARY
clc;
clear;
close all
a= imread(‘peppers.png');
subplot(2,2,1);
imshow(a);
subplot(2,2,2);
b=imresize(a,[256 256]);
imshow(b);
subplot(2,2,3);
c=rgb2gray(b);
imshow(c);
subplot(2,2,4);
d=im2bw(c);
imshow(d);

19. RGB COMPONENT
a=imread(‘peppers.png’)
subplot(2,2,1);
imshow(a);
[r c p]=size(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);

20. a=imread(‘rice.png’);
figure; imshow(a);
b=imnoise(a,’salt & pepper’,0.02)
Figure;
Imshow(B);
c=medfilt2(b);
Figure;
Imshow(c)
FILTER TO REMOVE THE NOISES