how to use outliers function to identify outlier pixel values from a series of image frames?

Hi

I'm trying to identify outlier pixel values from a series of image frames.

here is the process flow that I am trying to implement:

1. read in several 2-D image frames individually (I'm using 16bit little endian raw images 2056x100 pixels)

2. create multidimensional array, using cat function

3. create a 1-by-1-by-x matrix that contains all the values of a particular pixel for frames=1-to-x

4. use the function "outliers(X0, num_outliers)" created in 2012 by M Sohrabinia on this 1-by-1-by-x matrix

5. repeat steps 3-4 for all pixels

6. deconstruct the multidimensional array into individual frames and read out

I am stuck at step 4, with the following error:

>> [X, outliers_idx] = outliers(pixel10, 2)

Error using ' Transpose on ND array is not defined.

I suspect that the matrix I have created in step 3 is not a simple vector matrix, as when I view it I get this:

>> pixel10

pixel10(:,:,1) =

     6

pixel10(:,:,2) =

    47

pixel10(:,:,3) =

    17

....rather than a single list of numbers in a conventional matlab array

I would appreciate any suggestions on a way forward

thanks

[Paul]

I've now figured out that B = squeeze(pixel10) will get the matrix into a format that function "outliers" is happy with.

thanks anyway