tracking correlation coefficient (linear and non-linear) between two images
2 views (last 30 days)
Show older comments
When I apply corr2 to two similar images (delay between two consecutive images of 1s) it gives correlation coef. close to 0.99 but when I use corr2 for two similar flat field normalized images (delay around 1s between the images) correlation coef. is close to 0. Why is that? Do I have any options other than the built-in corr2 to determine the degree of correlation between two images? I would like to try several approaches to track the correlation between two images (linear and non-linear correlation).
0 Comments
Answers (1)
Anand
on 25 Apr 2013
You're probably making a mistake with the normalization.
Here's an example that doesn't change the correlation coefficient:
im1 = imread('cameraman.tif');
im2 = imnoise(im1,'gaussian');
corr2(im1,im2) %0.9286
im1n = double(im1)./sum(sum(double(im1)));
im2n = double(im2)./sum(sum(double(im2)));
corr2(im1n,im2n) %0.9286
See Also
Categories
Find more on Geometric Transformation and Image Registration in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!