Cross correlation image

1. What is cross-correlation of images?
2. What is cross-correlation example?
3. What is cross-correlation in CNN?

What is cross-correlation of images?

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.

What is cross-correlation example?

Cross-correlation is the comparison of two different time series to detect if there is a correlation between metrics with the same maximum and minimum values. For example: “Are two audio signals in phase?” Normalized cross-correlation is also the comparison of two time series, but using a different scoring result.

What is cross-correlation in CNN?

Cross-correlation means sliding a kernel (filter) across an image. Convolution means sliding a flipped kernel across an image.