Machine Vision

cancel
Showing results for 
Search instead for 
Did you mean: 

Measuring correlation between original image and binary image

Hello everybody,
i want to evaluate the performance of every type of thresholding ( background correction , niblack, metric , entropy etc...) by measuring the correlation between the original image and the thresholded image.

bgsrc.pngbg.png

0 Kudos
Message 1 of 24
(5,505 Views)

cross post


We have two ears and one mouth so that we can listen twice as much as we speak.

Epictetus

Antoine Chalons

0 Kudos
Message 2 of 24
(5,460 Views)

so what ? 

0 Kudos
Message 3 of 24
(5,454 Views)
ok now what is your problem now
0 Kudos
Message 4 of 24
(5,437 Views)

@wajih7 wrote:

so what ? 


so nothing special, it's ok to cross-post if you tell everyone, it merely helps the community to better help you.


We have two ears and one mouth so that we can listen twice as much as we speak.

Epictetus

Antoine Chalons

0 Kudos
Message 5 of 24
(5,434 Views)

i thought i did something illegal , sorry 

0 Kudos
Message 6 of 24
(5,422 Views)

i need suggestion , guidance 🙂

0 Kudos
Message 7 of 24
(5,422 Views)
ok now could tell what you want to do indeed
0 Kudos
Message 8 of 24
(5,418 Views)

want to evaluate the performance of every type of thresholding ( background correction , niblack, metric , entropy etc...) by measuring the correlation between the original image and the thresholded image. it's like evaluating the quality of thresholding so i can prove tha's  the best one 

 

0 Kudos
Message 9 of 24
(5,416 Views)

i want to evaluate the performance of every type of thresholding ( background correction , niblack, metric , entropy etc...) by measuring the correlation between the original image and the thresholded image. it's like evaluating the quality of thresholding so i can prove tha's  the best one 

 

0 Kudos
Message 10 of 24
(5,415 Views)