DIP ASSIGNMENT -1

Submitted by :GAURAV KUMAR (BT08ECE022)

Department of Electronics and Communication Engineering Visvesvaraya National Institute of Technology Nagpur- 440010 (India)

April, 2012

Program to Detect Number plate of a car
%Program to extracting particular things from an image. %This is for detecting vehicle number plate segmentation extraction % input - give the image file name as input. eg :- gau 1 (1).jpg clc; clear all; k=input('Enter the image file name','s'); % input color image of car having number plate. im=imread('num_plate'); im1=rgb2gray(im); im1=medfilt2(im1,[3 3]); %filtering is use to remove noise from image . BW = edge(im1,'sobel'); %this is for finding edges. [imx,imy]=size(BW); msk=[0 0 0 0 0; 0 1 1 1 0; 0 1 1 1 0; 0 1 1 1 0; 0 0 0 0 0;]; %This is the mask we use for detection B=conv2(double(BW),double(msk)); %Smoothing image to reduce the number of connected components L = bwlabel(B,8);% Calculating connected components mx=max(max(L)) % There will be mx connected components.Here U can give a value between 1 and %mx for L or in a loop you can extract all connected components % If you are using the attached car image, by giving 17,18,19,22,27,28 to L %you can extract the number plate completely. [r,c] = find(L==17); rc = [r c]; [sx sy]=size(rc); n1=zeros(imx,imy); for i=1:sx x1=rc(i,1); y1=rc(i,2); n1(x1,y1)=255; end % Storing the extracted image in an array figure,imshow(im); figure,imshow(im1); figure,imshow(B); figure,imshow(n1,[]);