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
(6,119 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
(6,074 Views)

so what ? 

0 Kudos
Message 3 of 24
(6,068 Views)
ok now what is your problem now
0 Kudos
Message 4 of 24
(6,051 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
(6,048 Views)

i thought i did something illegal , sorry 

0 Kudos
Message 6 of 24
(6,036 Views)

i need suggestion , guidance 🙂

0 Kudos
Message 7 of 24
(6,036 Views)
ok now could tell what you want to do indeed
0 Kudos
Message 8 of 24
(6,032 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
(6,030 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
(6,029 Views)