Machine Vision

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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.

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Message 1 of 24
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cross post


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

Epictetus

Antoine Chalons

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Message 2 of 24
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so what ? 

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Message 3 of 24
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ok now what is your problem now
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Message 4 of 24
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@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

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Message 5 of 24
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i thought i did something illegal , sorry 

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Message 6 of 24
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i need suggestion , guidance 🙂

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Message 7 of 24
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ok now could tell what you want to do indeed
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Message 8 of 24
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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 

 

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Message 9 of 24
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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 

 

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Message 10 of 24
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