Comments and Ratings

after reading cmments, I don,t know I should use it or not!

first of all, I couldn't run the file because it doesn't have the files it needs

I read the code it is not LDA, it's PCA because you did the following:
1- loaded the pictures for training in one matrix as rows (face space)
2- loaded the rest of the pictures for test in another matrix
3- subtracted mean face from all of face space (zero mean face space)
4- covariance for zero mean face space
5- eigenvectors for covariance matrix
6- project the eigenvectors on every picture in train and test sets
7-measure the euclidean distance for test set
 
that is PCA

for LDA, you must get mean for each class
then the mean of all the classes
calculate within-class scatter matrix
calculate the between-class scatter matrix
then the eigenvectors for the product and so on

which you didn't do

This is barely a function:
- Scant description of the required inputs
- No input to determine what image you want to analyse
- No input to control plotting (arbitrarily spawns figures)
- No comments in the code
- Nested for loop makes it orders of magnitude slower than it need be
- Dependancy on the image processing toolkit which isn't necessary
- Ideal cutoff without use of a proper filter will cause very poor quality image processing - unusable for practical purposes.
- No function H1 line
- No outputs

You'll need to address all these issues before your code is even vaguely useful. In the meantime, this is pretty much spam - a single use script hacked together into a function simply by addition of the 'function' line declaration. Please remove it from the FEX - there's pleanty enough spam here already.

Very helpful

Very helpful

Rename it to "outerperim" or something like this or ... just remove it.

can you provide some code for non-ideal filters?

This is a great work too