# separating an image into two images

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basma alshaibah on 27 Apr 2018
Answered: John BG on 6 May 2018
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 ?

Rik on 27 Apr 2018
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.
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Rik on 6 May 2018
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John BG on 6 May 2018
Hi Basma
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
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?
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thanks in advance for time and attention
John BG