Your SlideShare is downloading. ×

Image proceesing with matlab

6,843

Published on

Published in: Technology, Art & Photos
0 Comments
10 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
6,843
On Slideshare
0
From Embeds
0
Number of Embeds
3
Actions
Shares
0
Downloads
746
Comments
0
Likes
10
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 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(); } }

×