Finding the difference between two images algorithm.

11 visualizaciones (últimos 30 días)
shay afuta
shay afuta el 28 de Jul. de 2018
Comentada: Image Analyst el 21 de Abr. de 2021
Hello,I am trying to write code to find the difference between two similar images. My way was: make them gray (with rgb2gray) subtract and then add threshold) but it gave me nothing.
The way I am working isnt correct ? maybe I am missing something ?
  3 comentarios
Rik
Rik el 28 de Jul. de 2018
There is a lot that can go wrong here. We can guess what went wrong, but the best way is if you upload example images and the code you were using.
shay afuta
shay afuta el 29 de Jul. de 2018
I want to make algorithm that can slove the game "guess the difference". You upload 2 similar photos and get white dots in the places when there is any difference.

Iniciar sesión para comentar.

Respuestas (2)

Image Analyst
Image Analyst el 28 de Jul. de 2018
Subtracting will clip negative values at zero - not good! Cast to double before that.
Try the built-in functions immse() or psnr().
If you want to do it yourself, check out imabsdiff().
  2 comentarios
shay afuta
shay afuta el 29 de Jul. de 2018
I forgot to mention that I subtracted with abs(and now I tried with double).
Like this : abs(double(im1gray)-double(im2gray));
But it still giving me in white places in the pictures that are same. The built-in functions immse() or psnr() giving me error like that treshold so still I dont got the final picture I want(black background with white when there is any difference).
Image Analyst
Image Analyst el 29 de Jul. de 2018
Are you sure you're displaying the difference image with [] - otherwise it will do that.
differenceImage = abs(double(im1gray)-double(im2gray));
imshow(differenceImage, []);

Iniciar sesión para comentar.


Savita Hanchinal
Savita Hanchinal el 21 de Abr. de 2021
please anyone help me ...which algorithm is best for fake currency detection
  2 comentarios
Rik
Rik el 21 de Abr. de 2021
The best algorithm is probably classified, as it can be used to avoid counterfeit detection.
Also, by posting an answer you decreased your chances of getting effective help.
Have a read here and here. It will greatly improve your chances of getting an answer.

Iniciar sesión para comentar.

Etiquetas

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by