Dynamic Variables in Loops

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Shant on 27 Oct 2014
Commented: Stephen23 on 30 Oct 2014
I'm sure this has been answered before, but I can't seem to find the answer anywhere... Pretty simple problem for seasoned MATLAB users...
I have a series of images in a folder. I am trying to average these images. I start off by prompting the user for a folder to work from, then count the number of .jpg's in the folder. I run a loop to create a variable A for each image in the folder (A1, A2, A3, ....., A(i))
Now I need to assign those images to A(i) for them to processed.
Here is the code, thanks in advance. It is NOT recognizing A(i) (I think) and the error message is
Error in Average_Code (line 21) A(i)=imread(Files(i).name);
clear all;
close all;
%User selecting image directory
%Counting number of .JPG's in folder
Files = dir('*.jpg')
%Create Dynamic Variables
for i=1:b
eval(['A' num2str(i) '= i']);
fusion = 0;
%Assign Images to Dynamic Variables
for i=1:b
fusion = fusion + A(i);
%Average Images
average_image = fusion/b;
  1 Comment
Stephen23 on 30 Oct 2014
The answer is simple: do not do this. In MATLAB it is (almost always) better to not create variable names on the fly:
Alternatives usually involve accumulating data in an array (which could be a struct or cell), of course with array preallocation. This page gives excellent examples about how you can do this:

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Accepted Answer

Matt Tearle
Matt Tearle on 27 Oct 2014
Edited: Matt Tearle on 28 Oct 2014
Yes, this has been answered before, and the answer is: generally, don't!
The specific problem you're having is that you created a bunch of variables called A1, A2, etc., but in the loop you're trying to reference A(2), which is not the same thing as A2.
You could keep everything in a single array A. How you do that depends on the files. If they are all B&W images of the same size, you could keep them in a 3-D double array:
A(:,:,i) = double(imread...);
Then, at the end,
average_image = mean(A,3);
Given that you're trying to do averaging, I assume your images are at least the same size. If they're color images, things get a bit gnarlier, but you could still do it with 4-D arrays (depending on what you mean by averaging the images).
EDIT TO ADD: OK, given your comment, if you're dealing with true-color images, imread will return them as 3-D arrays (m-by-n-by-3), so you could store the b different images in a 4-D array (m-by-n-by-3-by-b):
for i = 1:b
A(:,:,:,i) = double(imread(...));
If the "average" image is just the mean of each of the 3 color planes individually, then you can do
average_image = mean(A,4);
If you want something more complicated than that, then... well, I'm sure it's possible, but I don't know what it would look like.
Matt Tearle
Matt Tearle on 29 Oct 2014
Edited: Matt Tearle on 30 Oct 2014
Oh waitwaitwaitwaitwait. Dammit, sorry, I've been an idiot. I forgot about the conversion you have to make when you go from uint8 to double. In uint8 the values go from 0 to 255. Going to double keeps the same values. But to represent an image as a double, you should use values in the range 0 to 1. So
A(:,:,:,i) = double(imread(...))/255;
rgbImage = imread(['IMG_',num2str(i),'.jpg']);
sumImage = sumImage + double(rgbImage)/255;
But a better way to do it is to use im2double instead of just double (this takes care of the necessary scaling for you):
A(:,:,:,i) = im2double(imread(...));
rgbImage = imread(['IMG_',num2str(i),'.jpg']);
sumImage = sumImage + im2double(rgbImage);
This was probably what was causing the earlier issue you were having (with red/yellow/orange).

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