Finding the cross correlation coefficient between consecutive images

First of all I want to say that i'm compeletly new to Matlab.

I'm currently working Kikuchi pattern which is sort of an image of diffraction bands inside a crystal. When moving to a so-called 'grain boundary' these patterns slowly changes to an other pattern(whatever that pattern may be). The point is; I have a hole bunch of consecutive images(moving from one side of the grain boundary to the other side), and every image I want to cross correlate to the next image. Hence getting a the cross correlation coefficient between image_i and image_(i+1), the next corrcoeff. is then between image_(i+1) and image_(i+2) and so forth.

I know how to read in each image and i know the general expression in Matlab for the cross correlation coefficient between two images. The problem is how to generate the whole bunch of coefficients? Should I use a while loop for instance? Is there a way to read in all images once at a time, and labeling them accordingly? Sorry for the lots of questions, but i'm completely new to Matlab.

A=imread('image_1.jpg');        %reading in first image%
B=imread('image_2.jpg');        %reading in second image%
C=corr2(A,B);                   %calculating crosscoeff between A and B%

Answer 1

[KALYAN ACHARJYA]

% Make sure that all images are in same working directory (current directory)
% Rename as sequential order im1,im2 etc
list=dir('*.jpg');
for j=1:length(list)-1
 A=imread(list(j).name);
 B=imread(list(j+1).name);
 C(j)=corr2(A,B); 
end

[Niels Visser]

Allright thank you! Is this also possible to read in some matrices instead of images? If so, which statement should I change?