How to implement cross-correlation for 2 Images in c++ [duplicate]

1. How does cross-correlation work in image processing?
2. How do you find the cross-correlation of two sequences?
3. What is the correct way to perform cross-correlation?

How does cross-correlation work in image processing?

Cross-Correlation:

Correlation is the process of moving a filter mask often referred to as kernel over the image and computing the sum of products at each location. Correlation is the function of displacement of the filter.

How do you find the cross-correlation of two sequences?

To detect a level of correlation between two signals we use cross-correlation. It is calculated simply by multiplying and summing two-time series together. In the following example, graphs A and B are cross-correlated but graph C is not correlated to either.

What is the correct way to perform cross-correlation?

Formula for Cross-Correlation

If independent variable X influences variable Y and the two are positively correlated, then as the value of X rises so will the value of Y. If the same is true of the relationship between X and Z, then as the value of X rises, so will the value of Z.