Image proceesing with matlab

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Image proceesing with matlab

  1. 1. Version 7.9.0.529 12 Aug 2009
  2. 2. Content  Introduction  Application  Image processing  Read & Write Image  Conversion of image to binary & gray  RGB component  Image & Noise filtration  GUI  Robotics Application
  3. 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. 4. Applications  Aerospace  Biometrics  Robotics  Medical  Finance  Control System  Signal, Image, Audio and Video  Animation
  5. 5. List of Companies  ADOBE (Photoshop)  NASA  GE  L&T  ROBERT BOSCH  PEPSI , COCACOLA (Neuro Marketing)
  6. 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. 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. 8. How to read an image a =imread('cameraman.tif'); imshow(a); b=imread('canoe.tif'); imshow(b);
  9. 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. 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. 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. 12. GUI Graphical User Interface
  13. 13. Choosing oF PUSH & AXIS
  14. 14. WRITE THE CODE BELOW THE CALLBACK a =imread('cameraman.tif'); axes(handles.one); imshow(a);
  15. 15. RUN THE PROGRAM OR PRESS F5
  16. 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. 17. Binary Image A binary image is represented by an M×N logical matrix where pixel values are 1 (true) or 0 (false).
  18. 18. Webcam Capture Vid=videoinput(‘winvideo’,1); Set(vid,’returnedcolorspace’.’RGB’); Img=getsnapshot(vid); Imshow(img);
  19. 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. 20. Reading from Serial port on MATLAB void setup() { Serial.begin(9600); } void loop() { if(Serial.available()>0) { byte b = Serial.read(); } }

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