how to perform character segmentation in Matlab [closed]
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Closed 9 years ago.
开发者_如何学运维 Improve this questionI have license plate image and I want to cut the numbers one by one.
any one have simple idea how to perform it?
after searching the web I found a way by doing the operation of horizontal and vertical smearing, but I really don't know what does it mean.
any explanation would help
Thanks in advance.
regionprops might work for you. If you take this sample license plate.
You could use a little script like this to cut out objects. Sorry, I just typed it together really quickly, but it gives you an idea.
clear all;
close all;
I = imread('plate.jpg');
BW = im2bw(I, 0.9);
BW = ~BW;
stats = regionprops(BW);
for index=1:length(stats)
if stats(index).Area > 200 && stats(index).BoundingBox(3)*stats(index).BoundingBox(4) < 30000
x = ceil(stats(index).BoundingBox(1))
y= ceil(stats(index).BoundingBox(2))
widthX = floor(stats(index).BoundingBox(3)-1)
widthY = floor(stats(index).BoundingBox(4)-1)
subimage(index) = {BW(y:y+widthY,x:x+widthX,:)};
figure, imshow(subimage{index})
end
end
This will output images like
and this
You still have to decide if it really is a letter. Be careful, the script will output a lot of images (about 30 or 40)
you can try this code(it's not mine)
% This is a program for extracting objects from an image. Written for vehicle number plate segmentation and extraction
% Authors : Jeny Rajan, Chandrashekar P S
% U can use attached test image for testing
% input - give the image file name as input. eg :- car3.jpg
clc;
clear all;
k=input('Enter the file name','s'); % input image; color image
im=imread(k);
im1=rgb2gray(im);
im1=medfilt2(im1,[3 3]); %Median filtering the image to remove noise%
BW = edge(im1,'sobel'); %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;];
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,[]);
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