separating an image into two images

i have this image and I want to separate it into two images the first called left and the other called right can someone provide me with the appropriate code ?

Answer 1

[John BG]

Hi Basma

this is John BG <mailto:[e-mail] [e-mail]>

1.-

In order to split the image as requested there's no need to convert the image to greyscale.

The key is to spot the white gap between both images.

2.-

Acquiring image

clear all;close all;clc
A=imread('001.jpg');
figure(1);imshow(A)

[sz1 sz2 sz3]=size(A)

sz1 =
   754
sz2 =
        1148
sz3 =
     3

Only along the split area all pixels are white meaning that only there the sum is about

.

sz1*255

=
      192270

It's a bit less because not all gap pixels are 255 white, but their values are the closest ones to the top value 255.

.

.

3.-

The following calculates the sum of all pixels column by column.

L=zeros(1,sz2);
for k=1:1:sz2
    L(k)=sum(A(:,k,1)+A(:,k,2)+A(:,k,3));
end

L=L/1e5;

figure(2);plot(L);grid on

[rows,cols]=find(L(L>1.9))
hold on
stem(cols,ones(1,numel(cols)),'g')

.

.

4.-

The gap to split the image is the middle one

nrange=[1:1:sz2]
n1=nonzeros(nrange.*(L>1.9))

n1 =
           1
           2
           3
           4
           5
           6
         568
         569
         570
         571
         572
         573
         574
         575
         576
        1141
        1142
        1143
        1144
        1145
        1146
        1147
        1148

A way to get right the mid point of the split gap is with command kmeans.

.

n2=kmeans(n1,3)

n2 =
     2
     2
     2
     2
     2
     2
     1
     1
     1
     1
     1
     1
     1
     1
     1
     3
     3
     3
     3
     3
     3
     3
     3

n3=find(n2==1)

n_split=n1(floor(.5*(min(n3)+max(n3))))

n_split =
   572

5.-

Now you can cut:

Aleft=A(:,[1:n_split],:);
Aright=A(:,[n_split+1:end],:);

6.-

Saving each part

imwrite(Aleft,'name_image_left.jpg')
imwrite(Aright,'name_image_right.jpg')

.

Basma

if you find this answer useful would you please be so kind to consider marking my answer as Accepted Answer?

To any other reader, if you find this answer useful please consider clicking on the thumbs-up vote link

thanks in advance for time and attention

John BG

<mailto:[e-mail] [e-mail]>

Answer 2

[Rik]

Convert the image to a grayscale (e.g. with im2double), invert (just do IM=1-IM;), and find the columns that sum to 0. Then you can use that as indices to separate the images.

[Rik]

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