How to to find the Gaussian Weighted-Average and Std Deviation of a structural element
Hello everyone.
I'm trying to implement an Intensity Normalization algorithm that is described by this formula:
x' = (x - gaussian_weighted_average) / std_deviation
The paper I'm following describes that I have to find the gaussian weighted average and the standard deviation corresponding to each pixel "x" neighbors using a 7x7 kernel.
PS: x' is the new pixel value.
So, my question is: how can I compute a gaussian weighted average and the standard deviation for each pixel in image using a 7x7 kernel? OpenCV provides any method to solve this?
You should add the link or the title of the paper.
If you want an intensity normalisation, why not just use the
equalizeHist()function which is the most commonly used intensity equalization algorithm inside OpenCV.@chr0x Hi, I need exactly the same thing, Have you managed to find anything ?
@Mejdi Dallel DO NOT POST ANSWERS, if you have a question. thank you.