## detect square in image

### Abdul (view profile)

on 29 Dec 2011
Latest activity Edited by An Hoang

on 9 Apr 2018

### Chandra Kurniawan (view profile)

i want to detect square shape only in image. how can i do this using matlab?

### Chandra Kurniawan (view profile)

on 29 Dec 2011

Hello,
Is your goal only to detect square in this picture?
If so, you don't need to do shape recognition, etc.
You just need to perform some morphologichal operations only.
Ibw = ~im2bw(I,graythresh(I));
Ifill = imfill(Ibw,'holes');
Iarea = bwareaopen(Ifill,100);
Ifinal = bwlabel(Iarea);
stat = regionprops(Ifinal,'boundingbox');
imshow(I); hold on;
for cnt = 1 : numel(stat)
bb = stat(cnt).BoundingBox;
rectangle('position',bb,'edgecolor','r','linewidth',2);
end
And the result :
Is this what you need?

Abdul

### Abdul (view profile)

on 3 Jan 2012
yes, thanks a lot. how about detecting circle in image?
An Hoang

### An Hoang (view profile)

on 9 Apr 2018
thank you so much! How to determine whether a check box option is selected

### Sean de Wolski (view profile)

on 29 Dec 2011

Those squares are very well defined.
• Set a less than threshold to make the dark colors true and everything else false. ( BW = I<thresh )
• Perform a connected components analysis ( doc bwconncomp)
• Then regionprops with EulerNumber specified.
• Apply a threshold to the regions matching the EulerNumber ( idx = [stats(:).EulerNumber] == x ) of a sample square.
• Build a new matrix of false. ( BWnew = false(CC.ImageSize))
• Set the indices in the connected components analysis corresponding to the matching EulerNumber to true. ( BWnew(vertcat(CC.PixelIdxList{idx})) = true)
In theory you'll have a mask of the boxes.

### Naz (view profile)

on 29 Dec 2011
Edited by John Kelly

### John Kelly (view profile)

on 14 Nov 2013

I just thought of an alternative idea. Instead of detecting a square, you should register the image (filled form) of interest with the raw image. Then, since you know the coordinates of each square, you can just check the pixels at those coordinates for the white/black values.