How to convert binary image to RGB image in matlab?

17 vues (au cours des 30 derniers jours)
Anushka
Anushka le 5 Juin 2015
Commenté : Walter Roberson le 5 Fév 2022
How to convert binary image to RGB image in matlab?I have converted an RGB image into binary using J1=im2bw(J1);.Now I want to convert it back to RGB image.
  1 commentaire
Guillaume
Guillaume le 5 Juin 2015
It is of course impossible (for a computer or a human) to recreate information that has been purposefully deleted.

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Réponses (2)

Titus Edelhofer
Titus Edelhofer le 5 Juin 2015
Hi,
you need to replicate the bw image for each color channel, convert to uint8 and multiply by 255:
J1 = 255 * repmat(uint8(J1), 1, 1, 3));
Note that of course it will still be black and white only ;-).
Titus
  7 commentaires
Anushka
Anushka le 5 Juin 2015
But by using Bitxor also I didnt obtain back the RGB image correctly.
Guillaume
Guillaume le 5 Juin 2015
Please comment in that other question. bitxor is what you want, if you do not get the right result, you must have made an error in your code, so please post it.

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Luis González Guzmán
Luis González Guzmán le 26 Avr 2017
Modifié(e) : Walter Roberson le 26 Avr 2017
function [RGB_Image] = convertBinImage2RGB(BinImage)
[fil, col] = size(BinImage);
RGB_Image = zeros(fil,col, 3);
[posX , posY] = find(BinImage==1);
numIter = size(posX,1)*size(posX,2);
for ii = 1 : numIter
RGB_Image(posX(ii),posY(ii), 1:3) = 255;
end % for
end % function
  3 commentaires
john
john le 5 Fév 2022
Please could you tell what the below line does?
BinImage(:,:,[1 1 1]) * 255 )
it multiples all row and columns by 255 i understood this.
but what does [1 1 1] does?
Walter Roberson
Walter Roberson le 5 Fév 2022
BinImage(:,:,K)
selects all of the 3D panes of BinImage that match the values in K, in order, right?
Well, there is no restriction against duplicating an index. Just the same way that you could say BinImage(:,:,[1 2]) or something like BinImage(:,:,[3 2 1]) if you had reason to (and the array was the right size), you can also ask for BinImage(:,:,[1 1 1]) which means to take the first pane of BinImage three times. Those would, of course, all be the same. So BinImage(:,:,[1 1 1]) for a 2D array BinImage would be the same as repmat(BinImage, 1, 1, 3), three copies of the 2D array BinImage, arranged as a 3D array.
So overall the code makes three stacked copies of BinImage, multiplies the result by 255 (getting out values that are either 0 or 255 in each location), and then uint8() to convert those all to uint8(0) and uint8(255) . An RGB image that is full black (where the 0's are), or full white (where the 255 are)

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