Sir, I have 50 corner points of one image, like that i have taken corner points of ten images, now i want to match one image with another by calculating euclidean distance, then how i can, Please sort my problem

corners = detectMinEigenFeatures(bw); % Find Corner Points Using the Eigenvalue Algorithm % Display 50 strongest points strongest=corners.selectStrongest(50); imshow(bw); hold on; title('Eigenvalue Algorithm'); plot(corners.selectStrongest(50));