how can we find the percentage of similarity between two matrices ??

i have two 1280-by-720 matrices. after looking the elements of those two matrices, both appears nearly equal. please tell me how can i find the percentage of similarity or equality between two matrices. i have found correlation coefficient method to find similarity between those two matrices, so can anyone suggest any different way to do the same.

Navneet Nayan

[KSSV]

Try with isequal

Answer 1

[KSSV]

How about the below logic?

m = 1280 ; n = 720 ;   % your dimensions 
p = 1000 ;
a = rand(m,n) ;        % a random matrix 
b = rand(m,n) ;        % a random matrix 
idx = randsample(1:m*n,p) ;  % deliberately making p elements in a and b equal 
a(idx) = b(idx) ;   
%
k = a==b ;   % get the equal elements 
iwant = sum(k(:));   % total number of equal elements, I will get it as p (i fixed it earlier) 
percentage = iwant/(m*n)*100

In your case, a and b are matrices which already have equal elements. If == is not working try with ismemebr, ismemebrtol.

Answer 2

[Walter Roberson]

MSE, mean squared error. You might be able to use immse()