how do i compare my test image with the one in my database using euclidean distance?

how do i compare my test image with the one in my database using euclidean distance?

Answer 1

[Akihumi]

I assume that you have RGB images.

Do you mean that you want to compute the euclidean distance of the pixes at same location on different images?

If yes, you may try the following

a = imread['image1'];  % first image
b = imread['image2'];  % second image
c = double(a-b);  % difference of each pixel
d = sqrt(c(:,:,1)^2 + c(:,:,2)^2 + c(:,:,3)^2);  % compute with formula of euclidean distance

[Afiqah Zafrullah]

Hello sir. is there any way that I can contact you through email to ask you more about this?

[Akihumi]

It is ok to ask here also, so others can also check my answer and suggest/comment on it

[Afiqah Zafrullah]

i was asked to find the average of all array values n compare it with the average of the average value of the reference array then assign the character to the minimum value. i dont know how this work since im new to matlab and have no one else to refer

Answer 2

[Image Analyst]

Try this:

theMean = mean(allArrayValues) % Take the mean of all elements in variable allArrayValues
refMean = mean(yourReferenceArray(:)) % Get mean of reference values.
minValue = min([theMean, refMean]); % Get the minimum of the values.
% No idea what "assign the character to the minimum value" means, but maybe this:
theCharacterValue = minValue; % assign the character to the minimum value