workshop i attended

1. IMAGE PROCESSING
Presented By,
Mr Elaventhan.A ME.,
Project Engineer

2. AGENDA
Day1:
o Image Processing Basics
o Techniques
o Algorithms
o Video Processing
o Image Processing Demo
Day2:
o MATLAB Introduction
o MATLAB Commands
o TMS Introduction
o TMS Demo

3. INTRODUCTION
Digital Image Processing
o Image
o Analog & Digital

4. APPLICATION
o Research Application
o Medical Application
o Surveillance Application

5. APPLICATIONS: IMAGE
ENHANCEMENT

6. FORMATS
o Image format
o Audio format
o Video format

7. IMAGE FILE 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

8. COLORS
o Primary colors
o Secondary colors
o Color code conversion(decimal and
hexadecimal)

9. IMAGE PROCESSING
TECHNIQUES
o Enhancement
o Restoration
o Watermarking
o Cryptography

10. Cont..
o Steganography
o Fusion
o Retrieval
o Segmentation

12. WATERMARKING
o Water Marking – Embed the secret image
in an image or any type of multimedia
data.
o We should hide the image without
changing original image quality.
o Water marking is used only for copyright
protection.

13. Cont..
o Types Of Water Marking
o Visible
o Invisible
o Applications
o In Tele Broadcasting
o Web Applications

14. BLOCK DIAGRAM

15. WATER MARKING EXTRACTION

16. 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

17. BLOCK DIAGRAMBLOCK DIAGRAM

18. 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

19. Multi Modal Images[MRI and CT]

20. FUSED OUTPUT
Fused Image
Wavelet Based
Fusion
Fused Image

21. SEGMENTATION OUTPUT
Cluster1 Cluster2
Cluster3 Cluster4

22. ALGORITHMS
o Histogram Equalization(enhancement)
o Threshold(segmentation)
o Prewitt & Sobel(edge Detection)

23. VIDEO PROCESSING
VCD DVD CD
Resolution 352 * 240 720*480 720*480
Compression MPEG-1 MPEG-2 lossless
File type .mpg .mpg .avi
Storage Size 800 MB 4.7 GB(single
layer,single side)
700 MB

24. How To Read An Image?
a =imread('cameraman.tif');
imshow(a);
a =

25. How To Read An Audio File?
• [filename, pathname] = uigetfile('*.wav', 'Pick an
audio file');
• wr=wavread(filename);
• plot(wr)

26. How to read a video file
[filename,pathname]=uigetfile(‘*.avi’,’pick an video file’);
A1=aviread(filename);
Movie(A1)

27. ADD TWO IMAGES
I = imread(‘rice.tif');
J = imread('cameraman.tif');
K = imadd(I,J,'uint16');
imshow(K,[])

28. 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);

29. 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);

30. 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

31. OUTPUT

34. Event Coordinator
Ms Sowmiya.S
Ring Us:
7200045955
8807058158
Mail Us:
Senthilmurugan.m@pantechmail.com
Trichy.DSP@Pantechmail.com