Compare binary images: if a pixel is 1 in both images, set it to 1 in a third image, if not, set it to 0...

Hello everyone,

hopefully someone can help me. I have performed an erosion-dilation operation on a binary image and now I want to compare the eroded-dilated image with the original image. If a pixel is 1 in both images, I want to write it as 1 into a new image, if it's 0 in both it's supposed to be 0, and if it's 1 in the one and 0 in the other picture it's supposed to be written as 0.

How do I program an algorithm able to do that?

Any help would be great!

Thymes

Answer 1

[Matt J]

result = OriginalImage & OpenedImage

[Julian]

Thank you for your answer.

Unfortunately, that only returns the opened image. The details from the original images are still gone...?

[Pierre]

This is the correct answer to the question asked! If it's not what you require, then your question does not reflect your problem.

[Matt J]

When you perform a morphological opening, the regions of ones shrink. So, it makes a lot of sense that what you've requested,

result = OriginalImage & OpenedImage

is in fact equivalent to

result = OpenenedImage

[Julian]

Hello, I think I didn't post my initial question correct. I have a somewhat noisy image and I would like to reduce or clear the noise.

To do so, I performed and opening. Since I don't want to lose any information of the object surface, I think it is easiest, to "compare" the two pictures, the original and the opened one. Meaning, when I have a 1 in the original image and a 1 in the opened image, I want to write a 1 into a third, new image. When I have a 1 in the original picture and a 0 in the opened picture I want to write a 0 in the new, third image. And whene there are two 0s, I of couse want a 0 in the new image.

Below, you see the original image on the left and the opened image in the middle. On the right, there is the image I got with the "&" command. It should look like a mixture of the first to images with all the surface information...

http://s14.directupload.net/file/d/3051/tc3p6cdl_jpg.htm

Do you understand what I mean? It's a little hard to describe that in another language. Sorry!

And thank you!

[Matt J]

Yes, I think I understand the situation, but first, Accept-click my answer (since it is correct) and make a new post for your new question.

[Julian]

Done. New thread is http://www.mathworks.de/matlabcentral/answers/51543-comparing-two-binary-images-if-a-pixel-is-1-in-both-images-write-a-1-into-a-new-image-otherwise