detect square in image

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Abdul
Abdul el 29 de Dic. de 2011
Comentada: Dmitry Surov el 16 de Sept. de 2020
i want to detect square shape only in image. how can i do this using matlab?

Respuesta aceptada

Chandra Kurniawan
Chandra Kurniawan el 29 de Dic. de 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.
I = imread('3617ca70.png');
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?
  3 comentarios
An Hoang
An Hoang el 9 de Abr. de 2018
Editada: An Hoang el 9 de Abr. de 2018
thank you so much! How to determine whether a check box option is selected
Dmitry Surov
Dmitry Surov el 16 de Sept. de 2020
Can you please explain what do we get in stat variable ? It's something related to border line of each square, but i misunderstand what that means
Thanks

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Más respuestas (2)

Sean de Wolski
Sean de Wolski el 29 de Dic. de 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
Naz el 29 de Dic. de 2011
Editada: John Kelly el 14 de Nov. de 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.

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