Howtosignalprocessing
- How do you interpret cross-correlation results?
- What is correlation coefficient between two images?
- What is normalized cross-correlation in image processing?
- What does negative cross-correlation mean?
How do you interpret cross-correlation results?
If the slope is positive, the cross correlation is positive; if there is a negative slope, the cross correlation is negative. This helps to identify important lags (or leads) in the process and is useful for application when there are predictors in an ARIMA model.
What is correlation coefficient between two images?
This is the function used to do correlation (coefficient) between two images (matrices): r = corr2(A,B) computes the correlation coefficient between A and B, where A and B are matrices or vectors of the same size. while xcorr2 (A, B) solves for CROSS correlation.
What is normalized cross-correlation in image processing?
Normalized Cross-Correlation (NCC) is by definition the inverse Fourier transform of the convolution of the Fourier transform of two (in this case) images, normalized using the local sums and sigmas (see below).
What does negative cross-correlation mean?
A negative correlation describes the extent to which two variables move in opposite directions. For example, for two variables, X and Y, an increase in X is associated with a decrease in Y. A negative correlation coefficient is also referred to as an inverse correlation.
