Can we model the experiments as a stochastic process and estimate the sample size?

sepinaz

New Member
I have an image with the size 5575x9440 and I'm implementing a modified version of the algorithm used in this paper on it, but because the code performance is low right now, I have divided the image to 52628 submatrices of the size 25x40 (1000 pixels) and my first experiments show that some lines of code that are marked in the following picture as yellow are not needed at all (meaning that the 2 and 3 degree polynomials always have at least one real positive root) and so there's no need to check it. (Deleting these ten lines will make the code 3rd times faster and I have other plans to accelerate the code further)

Because the code is slow right now, I cannot experiment all of these 52628 matrices and I have to choose a sample size and choose some random matrices to try. But how to calculate the sample size?

I have posted a summary of what I have tried so far here in this question and I really need your help?